public void FindDefectsTest()
{
Bitmap bmp = Properties.Resources.hand;
Bitmap gray = AForge.Imaging.Filters.Grayscale.CommonAlgorithms.BT709.Apply(bmp);
BlobCounter bc = new BlobCounter(gray);
bc.ObjectsOrder = ObjectsOrder.Size;
Blob[] blobs = bc.GetObjectsInformation();
bc.ExtractBlobsImage(bmp, blobs[0], true);
Bitmap blob = blobs[0].Image.ToManagedImage();
BorderFollowing bf = new BorderFollowing();
List<IntPoint> contour = bf.FindContour(blob);
GrahamConvexHull graham = new GrahamConvexHull();
List<IntPoint> hull = graham.FindHull(contour);
ConvexHullDefects hullDefects = new ConvexHullDefects(10);
List<ConvexityDefect> defects = hullDefects.FindDefects(contour, hull);
/* PointsMarker marker = new PointsMarker(hull, Color.Green, 10);
marker.ApplyInPlace(blob);
ImageBox.Show(blob);
*/
Assert.AreEqual(2, defects.Count);
Assert.AreEqual(new IntPoint(130, 10), contour[defects[0].Start]);
Assert.AreEqual(new IntPoint(93, 109), contour[defects[0].Point]);
Assert.AreEqual(new IntPoint(64, 9), contour[defects[0].End]);
Assert.AreEqual(99.549179077148438, defects[0].Depth, 1e-5);
Assert.IsFalse(double.IsNaN(defects[0].Depth));
// Assert.AreEqual(9912.9531239366424, defects[0].Area);
Assert.AreEqual(new IntPoint(49, 18), contour[defects[1].Start]);
Assert.AreEqual(new IntPoint(61, 106), contour[defects[1].Point]);
Assert.AreEqual(new IntPoint(18, 127), contour[defects[1].End]);
Assert.AreEqual(35.615153852366504, defects[1].Depth, 1e-5);
Assert.IsFalse(double.IsNaN(defects[1].Depth));
// Assert.AreEqual(2293.7535682510002, defects[1].Area);
}
public void FindContourTest()
{
Bitmap bmp = Properties.Resources.sample_black;
Bitmap gray = AForge.Imaging.Filters.Grayscale.CommonAlgorithms.BT709.Apply(bmp);
BlobCounter bc = new BlobCounter(gray);
bc.ObjectsOrder = ObjectsOrder.Size;
Blob[] blobs = bc.GetObjectsInformation();
bc.ExtractBlobsImage(bmp, blobs[0], true);
List<IntPoint> expected = bc.GetBlobsEdgePoints(blobs[0]);
Bitmap blob = blobs[0].Image.ToManagedImage();
BorderFollowing bf = new BorderFollowing();
List<IntPoint> actual = bf.FindContour(blob);
Assert.AreEqual(expected.Count, actual.Count);
foreach (IntPoint point in expected)
Assert.IsTrue(actual.Contains(point));
foreach (IntPoint point in actual)
Assert.IsTrue(expected.Contains(point));
IntPoint prev = actual[0];
for (int i = 1; i < actual.Count; i++)
{
IntPoint curr = actual[i];
Assert.IsTrue(System.Math.Abs(prev.X - curr.X) <= 1 &&
System.Math.Abs(prev.Y - curr.Y) <= 1);
prev = curr;
}
IntPoint first = actual[0];
IntPoint last = actual[actual.Count - 1];
Assert.IsTrue(System.Math.Abs(first.X - last.X) <= 1 &&
System.Math.Abs(first.Y - last.Y) <= 1);
}
/// <summary>
/// Given the Window UI Screenshot, tries to detect all the buttons in it and returns all of them.
/// </summary>
/// <param name="res">Where to put candidate controls</param>
/// <param name="bitmap">Bitmap containing the pixels of the UI to analyze</param>
/// <param name="shouldInvert">If true, the bitmap will be inverted before analysis</param>
/// <param name="minWidth">Minimum width of patterns to recognize</param>
/// <param name="minHeight">Minimum height of patterns to recognize</param>
/// <returns>void</returns>
private void ScanWithVisualRecognition(ref CandidateSet res, Bitmap original, bool shouldInvert, int minWidth, int minHeight, Window w, IRankingPolicy policy)
{
// Setup the Blob counter
BlobCounter blobCounter = new BlobCounter();
blobCounter.BackgroundThreshold = Color.FromArgb(10, 10, 10);
blobCounter.FilterBlobs = true;
blobCounter.CoupledSizeFiltering = false;
blobCounter.MinHeight = minHeight;
blobCounter.MinWidth = minWidth;
List <Blob> blobs = new List <Blob>();
// Button scanning
// Apply the grayscale. This is needed for AForge's filters
using (Bitmap grey_scaled = Grayscale.CommonAlgorithms.BT709.Apply(original))
{
// Invert the image if requested
if (shouldInvert)
{
Invert invert = new Invert();
invert.ApplyInPlace(grey_scaled);
}
//grey_scaled.Save("C:\\users\\alberto geniola\\desktop\\dbg\\gray_scaled_" + toinvert + ".bmp");
using (Bitmap t1 = new Threshold(64).Apply(grey_scaled))
{
using (var tmp = new Bitmap(t1.Width, t1.Height))
{
using (Graphics g = Graphics.FromImage(tmp))
{
g.DrawImage(t1, 0, 0);
}
// The blob counter will analyze the bitmap looking for shapes
blobCounter.ProcessImage(tmp);
var tmparr = blobCounter.GetObjectsInformation();
blobs.AddRange(tmparr);
}
}
using (Bitmap t2 = new SISThreshold().Apply(grey_scaled))
{
using (var tmp = new Bitmap(t2.Width, t2.Height))
{
using (Graphics g = Graphics.FromImage(tmp))
{
g.DrawImage(t2, 0, 0);
}
//tmp.Save("C:\\users\\alberto geniola\\desktop\\dbg\\t2_" + toinvert + ".bmp");
// The blob counter will analyze the bitmap looking for shapes
blobCounter.ProcessImage(tmp);
var tmparr = blobCounter.GetObjectsInformation();
blobs.AddRange(tmparr);
}
}
}
// Let's analyze every single shape
for (int i = 0, n = blobs.Count; i < n; i++)
{
List <IntPoint> edgePoints = blobCounter.GetBlobsEdgePoints(blobs[i]);
if (edgePoints.Count > 1)
{
IntPoint p0, p1;
PointsCloud.GetBoundingRectangle(edgePoints, out p0, out p1);
var r = new Rectangle(p0.X, p0.Y, p1.X - p0.X, p1.Y - p0.Y);
// Skip any shape representing the border of the whole window ( +10px padding)
if (r.Width >= (original.Width - 10))
{
continue;
}
// This is most-likely a button!
// Crop the image and pass it to the OCR engine for text recognition
using (Bitmap button = new Bitmap(r.Width, r.Height))
{
// Scan the original shape
String txt = null;
using (var g1 = Graphics.FromImage(button))
{
g1.DrawImage(original, 0, 0, r, GraphicsUnit.Pixel);
}
// Process OCR on that image
txt = scanButton(button);
if (String.IsNullOrEmpty(txt))
{
using (Bitmap tmp = Grayscale.CommonAlgorithms.BT709.Apply(button))
{
if (shouldInvert)
{
new Invert().ApplyInPlace(tmp);
}
new SISThreshold().ApplyInPlace(tmp);
txt = scanButton(tmp);
}
}
// If still nothing is found, repeat the analysis with the second version of the filter
if (String.IsNullOrEmpty(txt))
{
using (Bitmap tmp = Grayscale.CommonAlgorithms.BT709.Apply(button))
{
if (shouldInvert)
{
new Invert().ApplyInPlace(tmp);
}
new Threshold(64).ApplyInPlace(tmp);
txt = scanButton(tmp);
}
}
// At this point we should have a result. Add it to list if it does not overlap any UIAutomated element
UIControlCandidate t = new UIControlCandidate();
t.PositionWindowRelative = r;
var winLoc = w.WindowLocation;
t.PositionScreenRelative = new Rectangle(r.X + winLoc.X, r.Y + winLoc.Y, r.Width, r.Height);
t.Text = txt;
t.Score = policy.RankElement(t);
// If the item falls into the same area of a UI element, ignore it.
bool overlaps = false;
foreach (var el in res)
{
if (el.AutoElementRef != null && el.PositionScreenRelative.IntersectsWith(t.PositionScreenRelative))
{
overlaps = true;
break;
}
}
if (!overlaps)
{
res.Add(t);
}
}
}
}
}
/// <summary>
/// Apply filter to an image.
/// </summary>
///
/// <param name="imageData">Source image to get biggest blob from.</param>
///
/// <returns>Returns image of the biggest blob.</returns>
///
/// <exception cref="UnsupportedImageFormatException">Unsupported pixel format of the source image.</exception>
/// <exception cref="UnsupportedImageFormatException">Unsupported pixel format of the original image.</exception>
/// <exception cref="InvalidImagePropertiesException">Source and original images must have the same size.</exception>
/// <exception cref="ArgumentException">The source image does not contain any blobs.</exception>
///
public Bitmap Apply(BitmapData imageData)
{
// check pixel format of the source image
if (!FormatTranslations.ContainsKey(imageData.PixelFormat))
{
throw new UnsupportedImageFormatException("Source pixel format is not supported by the filter.");
}
// locate blobs in the source image
BlobCounter blobCounter = new BlobCounter(imageData);
// get information about blobs
Blob[] blobs = blobCounter.GetObjectsInformation( );
// find the biggest blob
int maxSize = 0;
Blob biggestBlob = null;
for (int i = 0, n = blobs.Length; i < n; i++)
{
int size = blobs[i].Rectangle.Width * blobs[i].Rectangle.Height;
if (size > maxSize)
{
maxSize = size;
biggestBlob = blobs[i];
}
}
// check if any blob was found
if (biggestBlob == null)
{
throw new ArgumentException("The source image does not contain any blobs.");
}
blobPosition = new IntPoint(biggestBlob.Rectangle.Left, biggestBlob.Rectangle.Top);
// extract biggest blob's image
if (originalImage == null)
{
blobCounter.ExtractBlobsImage(new UnmanagedImage(imageData), biggestBlob, false);
}
else
{
// check original image's format
if (
(originalImage.PixelFormat != PixelFormat.Format24bppRgb) &&
(originalImage.PixelFormat != PixelFormat.Format32bppArgb) &&
(originalImage.PixelFormat != PixelFormat.Format32bppRgb) &&
(originalImage.PixelFormat != PixelFormat.Format32bppPArgb) &&
(originalImage.PixelFormat != PixelFormat.Format8bppIndexed)
)
{
throw new UnsupportedImageFormatException("Original image may be grayscale (8bpp indexed) or color (24/32bpp) image only.");
}
// check its size
if ((originalImage.Width != imageData.Width) || (originalImage.Height != imageData.Height))
{
throw new InvalidImagePropertiesException("Original image must have the same size as passed source image.");
}
blobCounter.ExtractBlobsImage(originalImage, biggestBlob, false);
}
Bitmap managedImage = biggestBlob.Image.ToManagedImage( );
// dispose unmanaged image of the biggest blob
biggestBlob.Image.Dispose( );
return(managedImage);
}
/// <summary>
/// Detects and recognizes cards from source image
/// </summary>
/// <param name="source">Source image to be scanned</param>
/// <returns>Recognized Cards</returns>
public CardCollection Recognize(Bitmap source)
{
var height = ((double)source.Height / (double)source.Width * 640d);
ResizeBilinear ImageResizer = new ResizeBilinear(640, (int)height);
source = ImageResizer.Apply(source);
CardCollection collection = new CardCollection(); //Collection that will hold cards
Bitmap temp = source.Clone() as Bitmap; //Clone image to keep original image
FiltersSequence seq = new FiltersSequence();
seq.Add(Grayscale.CommonAlgorithms.BT709); //First add grayScaling filter
seq.Add(new OtsuThreshold()); //Then add binarization(thresholding) filter
temp = seq.Apply(source); // Apply filters on source image
//Extract blobs from image whose size width and height larger than 150
BlobCounter extractor = new BlobCounter();
extractor.FilterBlobs = true;
extractor.MinWidth = extractor.MinHeight = 150;
extractor.MaxWidth = extractor.MaxHeight = 350;
extractor.ProcessImage(temp);
//Will be used transform(extract) cards on source image
QuadrilateralTransformation quadTransformer = new QuadrilateralTransformation();
//Will be used resize(scaling) cards
ResizeBilinear resizer = new ResizeBilinear(CardWidth, CardHeight);
var Blobs = extractor.GetObjectsInformation();
foreach (Blob blob in Blobs)
{
//Get Edge points of card
List <IntPoint> edgePoints = extractor.GetBlobsEdgePoints(blob);
//Calculate/Find corners of card on source image from edge points
List <IntPoint> corners = PointsCloud.FindQuadrilateralCorners(edgePoints);
quadTransformer.SourceQuadrilateral = corners; //Set corners for transforming card
quadTransformer.AutomaticSizeCalculaton = true;
Bitmap cardImg = quadTransformer.Apply(source); //Extract(transform) card image
if (cardImg.Width > cardImg.Height) //If card is positioned horizontally
{
cardImg.RotateFlip(RotateFlipType.Rotate90FlipNone); //Rotate
}
cardImg = resizer.Apply(cardImg); //Normalize card size
Card card = new Card(cardImg, corners.ToArray()); //Create Card Object
char color;
try
{
color = ScanColor(card.GetTopLeftPart()); //Scan color
}
catch (Exception ex)
{
continue;
}
bool faceCard = IsFaceCard(cardImg); //Determine type of card(face or not)
if (!faceCard)
{
card.Suit = ScanSuit(cardImg, color); //Scan Suit of non-face card
card.Rank = ScanRank(cardImg); //Scan Rank of non-face card
}
else
{
Bitmap topLeft = card.GetTopLeftPart();
seq.Clear();
seq.Add(Grayscale.CommonAlgorithms.BT709);
seq.Add(new BradleyLocalThresholding());
topLeft = seq.Apply(topLeft);
BlobsFiltering bFilter = new BlobsFiltering(5, 5, 150, 150);
bFilter.ApplyInPlace(topLeft); //Filter blobs that can not be a suit
// topLeft.Save("topleft.bmp", ImageFormat.Bmp);
card.Suit = ScanFaceSuit(topLeft, color); //Scan suit of face card
card.Rank = ScanFaceRank(topLeft); //Scan rank of face card
}
collection.Add(card); //Add card to collection
}
return(collection);
}
private void FindObject(Bitmap im)
{
BlobCounter blobCounter = new BlobCounter();
blobCounter.MinWidth = 5;
blobCounter.MinHeight = 5;
blobCounter.FilterBlobs = true;
blobCounter.ObjectsOrder = ObjectsOrder.Size;
BitmapData objectsData = im.LockBits(new Rectangle(0, 0, im.Width, im.Height), ImageLockMode.ReadOnly, im.PixelFormat);
Grayscale grayscaleFilter = new Grayscale(0.2125, 0.7154, 0.0721);
UnmanagedImage grayImage = grayscaleFilter.Apply(new UnmanagedImage(objectsData));
im.UnlockBits(objectsData);
blobCounter.ProcessImage(im);
Rectangle[] rects = blobCounter.GetObjectsRectangles();
Blob[] blobs = blobCounter.GetObjectsInformation();
last.Image = im;
String state = "null";
foreach (Rectangle recs in rects)
{
if (rects.Length > 0)
{
Rectangle objectRect = rects[0];
Graphics g = camPic.CreateGraphics();
using (Pen pen = new Pen(Color.FromArgb(252, 3, 26), 2))
{
g.DrawRectangle(pen, objectRect);
}
int objectX = objectRect.X + (objectRect.Width / 2);
int objectY = objectRect.Y + (objectRect.Height / 2);
g.Dispose();
state = getState(objectRect);
this.Invoke((MethodInvoker) delegate
{
if (state != "null" && cur != state)
{
cur = state;
sendData(state);
}
});
}
}
if (rects.Length <= 0 && cur != "begin")
{
cur = "begin";
sendData("null");
// if no rectangle, null
}
}
public void nesnebul(Bitmap image)
{
#region
BlobCounter blobCounter = new BlobCounter();
blobCounter.MinWidth = 5;
blobCounter.MinHeight = 5;
blobCounter.FilterBlobs = true;
blobCounter.ObjectsOrder = ObjectsOrder.Size;
//Grayscale griFiltre = new Grayscale(0.2125, 0.7154, 0.0721);
//Grayscale griFiltre = new Grayscale(0.2, 0.2, 0.2);
//Bitmap griImage = griFiltre.Apply(image);
BitmapData objectsData = image.LockBits(new Rectangle(0, 0, image.Width, image.Height), ImageLockMode.ReadOnly, image.PixelFormat);
// grayscaling
Grayscale grayscaleFilter = new Grayscale(0.2125, 0.7154, 0.0721);
UnmanagedImage grayImage = grayscaleFilter.Apply(new UnmanagedImage(objectsData));
// unlock image
image.UnlockBits(objectsData);
blobCounter.ProcessImage(image);
Rectangle[] rects = blobCounter.GetObjectsRectangles();
Blob[] blobs = blobCounter.GetObjectsInformation();
pictureBox2.Image = image;
#endregion
//Multi tracking Çoklu cisim Takibi-------
for (int i = 0; rects.Length > i; i++)
{
Rectangle objectRect = rects[i];
//List<IntPoint> edgePoints = blobCounter.GetBlobsEdgePoints(blobs[i]);
//Graphics g = Graphics.FromImage(image);
Graphics g = pictureBox1.CreateGraphics();
using (Pen pen = new Pen(Color.FromArgb(252, 3, 26), 2))
{
g.DrawRectangle(pen, objectRect);
g.DrawString((i + 1).ToString(), new Font("Arial", 12), Brushes.Red, objectRect);
//g.DrawLines(pen,ToPointsArray(edgePoints));
}
//Cizdirilen Dikdörtgenin Koordinatlari aliniyor.
int objectX = objectRect.X + (objectRect.Width / 2);
int objectY = objectRect.Y + (objectRect.Height / 2);
// g.DrawString(objectX.ToString() + "X" + objectY.ToString(), new Font("Arial", 12), Brushes.Red, new System.Drawing.Point(250, 1));
g.Dispose();
}
//TODO: Nesneler arası kapalı çevrim draww
if (rects.Length > 1)
{
for (int j = 0; j < rects.Length - 1; j++)
{
int ilkx = (rects[j].Right + rects[j].Left) / 2;
int ilky = (rects[j].Top + rects[j].Bottom) / 2;
int ikix = (rects[j + 1].Right + rects[j + 1].Left) / 2;
int ikiy = (rects[j + 1].Top + rects[j + 1].Bottom) / 2;
Graphics g = pictureBox2.CreateGraphics();
//g.DrawLine(Pens.Red, rects[j].Location, rects[j + 1].Location);
//g.DrawLine(Pens.Blue, rects[0].Location, rects[rects.Length - 1].Location);
g.DrawLine(Pens.Red, ilkx, ilky, ikix, ikiy);
}
int ilkX = rects[0].X + (rects[0].Width / 2);
int ilkY = rects[0].Y + (rects[0].Height / 2);
int ikiX = rects[1].X + (rects[1].Width / 2);
int ikiY = rects[1].X + (rects[1].Height / 2);
int uzaklik = System.Math.Abs(ilkX - ikiX);
if (uzaklik < 120 && sayma == true)
{
xoop++;
sayma = false;
}
if (uzaklik > 120)
{
sayma = true;
}
else
{
sayma = false;
}
this.Invoke((MethodInvoker) delegate
{
richTextBox1.Text = xoop.ToString() + "\n" + richTextBox1.Text + "\n";;
});
}
}
private void detectQuads(Bitmap bitmap)
{
// Greyscale
filteredBitmap = Grayscale.CommonAlgorithms.BT709.Apply(bitmap);
// edge filter
SobelEdgeDetector edgeFilter = new SobelEdgeDetector();
edgeFilter.ApplyInPlace(filteredBitmap);
// Threshhold filter
Threshold threshholdFilter = new Threshold(190);
threshholdFilter.ApplyInPlace(filteredBitmap);
BitmapData bitmapData = filteredBitmap.LockBits(
new Rectangle(0, 0, filteredBitmap.Width, filteredBitmap.Height),
ImageLockMode.ReadWrite, filteredBitmap.PixelFormat);
BlobCounter blobCounter = new BlobCounter();
blobCounter.FilterBlobs = true;
blobCounter.MinHeight = 125;
blobCounter.MinWidth = 125;
blobCounter.ProcessImage(bitmapData);
Blob[] blobs = blobCounter.GetObjectsInformation();
filteredBitmap.UnlockBits(bitmapData);
SimpleShapeChecker shapeChecker = new SimpleShapeChecker();
Bitmap bm = new Bitmap(filteredBitmap.Width, filteredBitmap.Height, PixelFormat.Format24bppRgb);
Graphics g = Graphics.FromImage(bm);
g.DrawImage(filteredBitmap, 0, 0);
Pen pen = new Pen(Color.Red, 5);
List <IntPoint> cardPositions = new List <IntPoint>();
// Loop through detected shapes
for (int i = 0, n = blobs.Length; i < n; i++)
{
List <IntPoint> edgePoints = blobCounter.GetBlobsEdgePoints(blobs[i]);
List <IntPoint> corners;
bool sameCard = false;
// is triangle or quadrilateral
if (shapeChecker.IsConvexPolygon(edgePoints, out corners))
{
// get sub-type
PolygonSubType subType = shapeChecker.CheckPolygonSubType(corners);
// Only return 4 corner rectanges
if ((subType == PolygonSubType.Parallelogram || subType == PolygonSubType.Rectangle) && corners.Count == 4)
{
// Check if its sideways, if so rearrange the corners so it's veritcal
rearrangeCorners(corners);
// Prevent it from detecting the same card twice
foreach (IntPoint point in cardPositions)
{
if (corners[0].DistanceTo(point) < 40)
{
sameCard = true;
}
}
if (sameCard)
{
continue;
}
// Hack to prevent it from detecting smaller sections of the card instead of the whole card
if (GetArea(corners) < 20000)
{
continue;
}
cardPositions.Add(corners[0]);
g.DrawPolygon(pen, ToPointsArray(corners));
// Extract the card bitmap
QuadrilateralTransformation transformFilter = new QuadrilateralTransformation(corners, 211, 298);
cardBitmap = transformFilter.Apply(cameraBitmap);
List <IntPoint> artCorners = new List <IntPoint>();
artCorners.Add(new IntPoint(14, 35));
artCorners.Add(new IntPoint(193, 35));
artCorners.Add(new IntPoint(193, 168));
artCorners.Add(new IntPoint(14, 168));
// Extract the art bitmap
QuadrilateralTransformation cartArtFilter = new QuadrilateralTransformation(artCorners, 183, 133);
cardArtBitmap = cartArtFilter.Apply(cardBitmap);
MagicCard card = new MagicCard();
card.corners = corners;
card.cardBitmap = cardBitmap;
card.cardArtBitmap = cardArtBitmap;
card.area = GetArea(corners);
magicCards.Add(card);
}
}
}
pen.Dispose();
g.Dispose();
filteredBitmap = bm;
}
private void button2_Click(object sender, EventArgs e)
{
Bitmap bmp = new Bitmap(pictureBox1.Image);
Bitmap bmpsobe;
Bitmap bmpmedian;
Bitmap otsu;
if (pictureBox1.Image == null)
{
MessageBox.Show("Lütfen önce bir resim Seçin");
}
else
{
progressBar1.Visible = true;
int i, j;
Color ort;//Color sınıfından bir renk nesne tanımlıyoruz.
//int r,g,b;
progressBar1.Maximum = bmp.Width * bmp.Height; //İşlem çubuğunun maksimim olduğu yer for döngüsünün sonundaki piksel değerine erişmemiz durumundadır.
for (i = 0; i <= bmp.Width - 1; i++) //dikey olarak görüntümüzü tarıyoruz.
{
for (j = 0; j <= bmp.Height - 1; j++) //yatay olarak görüntümüzü tarıyoruz.
{
ort = bmp.GetPixel(i, j);
ort = Color.FromArgb((byte)((ort.R + ort.G + ort.B) / 3), (byte)((ort.R + ort.G + ort.B) / 3), (byte)((ort.R + ort.G + ort.B) / 3));
bmp.SetPixel(i, j, ort);
if ((i % 10) == 0)//her on satırda bir göstergeyi güncelle
{
progressBar1.Value = i * bmp.Height + j;
Application.DoEvents();
}
}
}
}
//////////////////////// Median //////////////
bmpmedian = ExtBitmap.MedianFilter(bmp, 3);
/////////////////////// SOBEL ///////////////
bmpsobe = ExtBitmap.Sobel3x3Filter(bmpmedian, true);
Bitmap bmpsobe1 = (Bitmap)bmpsobe.Clone();
/////////// otsu
int x, y;
int genislik = bmpsobe1.Width;
int yukseklik = bmpsobe1.Height;
byte[] pixeller = new byte[(int)genislik * yukseklik];
Bitmap resim = (Bitmap)bmpsobe1.Clone();
for (y = 0; y < yukseklik; y++)
{
for (x = 0; x < genislik; x++)
{
// Pixelleri kütüphanenin işleyebileceği tek boyutlu bir diziye atıyoruz.
// Gri seviyede tüm ana renkler eşit olduğu için sadece kırmızıyı okumak gri seviye için yeterli.
pixeller[y * genislik + x] = resim.GetPixel(x, y).R;
}
}
byte esikDeger = 0;
OtsuEsikleme(ref pixeller[0], ref esikDeger, genislik, yukseklik);
int renkk;
for (y = 0; y < yukseklik; y++)
{
for (x = 0; x < genislik; x++)
{
renkk = pixeller[y * genislik + x]; // gri
resim.SetPixel(x, y, Color.FromArgb(renkk, renkk, renkk)); // Gri seviyeyi argb moduna dönüştürüp resme aktarıyoruz.
}
}
otsu = (Bitmap)resim.Clone();
Bitmap bmperosion;
Bitmap bmpdilation;
Bitmap bmpclosing;
bmperosion = ExtBitmap.DilateAndErodeFilter(otsu, 3, akıllıgecissistemleri.ExtBitmap.MorphologyType.Erosion, true, true, true);
Bitmap bmperosionn = (Bitmap)bmperosion.Clone();
bmpdilation = ExtBitmap.DilateAndErodeFilter(bmperosionn, 7, akıllıgecissistemleri.ExtBitmap.MorphologyType.Dilation, true, true, true);
Bitmap bmpdilationn = (Bitmap)bmpdilation.Clone();
Bitmap one = (Bitmap)bmpdilationn.Clone();
BlobsFiltering filter0 = new BlobsFiltering();
// filtre ayarlaması
filter0.CoupledSizeFiltering = true;
filter0.MinWidth = 70;
filter0.MinHeight = 40;
// filtre uygula
filter0.ApplyInPlace(one);
Bitmap one2 = (Bitmap)one.Clone();
bmpclosing = ExtBitmap.CloseMorphologyFilter(one2, 15, true, true, true);
Bitmap bmperosio = (Bitmap)bmpclosing.Clone();
Bitmap bmperosionson = ExtBitmap.DilateAndErodeFilter(bmperosio, 9, akıllıgecissistemleri.ExtBitmap.MorphologyType.Erosion, true, true, true);
Bitmap blobson = (Bitmap)bmperosionson.Clone();
BlobsFiltering filterson = new BlobsFiltering();
// filtre ayarla
filterson.CoupledSizeFiltering = true;
filterson.MinWidth = 50;
filterson.MinHeight = 200;
// filtre uygula
filterson.ApplyInPlace(blobson);
Bitmap rect = (Bitmap)blobson.Clone();
Bitmap one1 = (Bitmap)rect.Clone();
ConnectedComponentsLabeling filter = new ConnectedComponentsLabeling();
// filtre uygula
Bitmap newImage = filter.Apply(one1);
Bitmap newImage1 = (Bitmap)newImage.Clone();
// obje sayısını kontrol et
int objectCount = filter.ObjectCount;
BlobCounter blobCounter = new BlobCounter();
blobCounter.ProcessImage(rect);
Blob[] blobs = blobCounter.GetObjectsInformation();
// Görüntüye çizmek için Graphic nesnesi ve bir kalem oluştur
Graphics g = Graphics.FromImage(rect);
Pen bluePen = new Pen(Color.Blue, 2);
// her nesne kpntrol edilir ve etrafında daire çizilir.
for (int i = 0, n = blobs.Length; i < n; i++)
{
/*
* x1=0
* x2=1
* y1=2
* y2=3
*/
List <IntPoint> edgePoints = blobCounter.GetBlobsEdgePoints(blobs[i]);
List <IntPoint> corners = PointsCloud.FindQuadrilateralCorners(edgePoints);
int[] sinirlar = sinir(corners);
sinirlar[0] = sinirlar[0] - 2;
sinirlar[1] = sinirlar[1] + 2;
sinirlar[2] = sinirlar[2] - 2;
sinirlar[3] = sinirlar[3] + 2;
int en = sinirlar[1] - sinirlar[0];
int boy = sinirlar[3] - sinirlar[2];
float ort = (float)en / (float)boy;
List <IntPoint> ucnoktalar = new List <IntPoint>();
ucnoktalar.Add(new IntPoint(sinirlar[0], sinirlar[2]));
ucnoktalar.Add(new IntPoint(sinirlar[1], sinirlar[2]));
ucnoktalar.Add(new IntPoint(sinirlar[1], sinirlar[3]));
ucnoktalar.Add(new IntPoint(sinirlar[0], sinirlar[3]));
g.DrawPolygon(bluePen, ToPointsArray(ucnoktalar));
g.DrawString("Plaka kordinatlari : (x,y): (" + sinirlar[0].ToString() + "," + sinirlar[2].ToString() + ")\n en, boy,ort: " + (sinirlar[1] - sinirlar[0]).ToString() + ", "
+ (sinirlar[3] - sinirlar[2]).ToString() + "," + ort.ToString() + " blob sayisi:" + blobs.Length.ToString(), new Font("Arial", 8), Brushes.White, new System.Drawing.Point(sinirlar[0], sinirlar[3] + 4));
}
bluePen.Dispose();
g.Dispose();
Bitmap rect1 = (Bitmap)pictureBox1.Image.Clone();
Graphics g1 = Graphics.FromImage(rect1);
Pen bluePen2 = new Pen(Color.Red, 2);
// her nesne kpntrol edilir ve etrafında daire çizilir.
List <Blob> bloplar = new List <Blob>();
for (int i = 0, n = blobs.Length; i < n; i++)
{
/* x1,y1--------x2,y1
* x1=0 | |
* x2=1 | |
* y1=2 x1,y2--------x2,y2
* y2=3
*/
List <IntPoint> edgePoints = blobCounter.GetBlobsEdgePoints(blobs[i]);
List <IntPoint> corners = PointsCloud.FindQuadrilateralCorners(edgePoints);
int[] sinirlar = sinir(corners);
sinirlar[0] = sinirlar[0] - 5;
sinirlar[1] = sinirlar[1];
sinirlar[2] = sinirlar[2] - 5;
sinirlar[3] = sinirlar[3] + 5;
int en = sinirlar[1] - sinirlar[0];
int boy = sinirlar[3] - sinirlar[2];
float ort = (float)en / (float)boy;
if (ort >= 3 && ort <= 5.7)
{
g1.DrawLines(bluePen2, new System.Drawing.Point[] { new System.Drawing.Point(sinirlar[0], sinirlar[2]),
new System.Drawing.Point(sinirlar[1], sinirlar[2]), new System.Drawing.Point(sinirlar[1], sinirlar[3]),
new System.Drawing.Point(sinirlar[0], sinirlar[3]), new System.Drawing.Point(sinirlar[0], sinirlar[2]) });
g1.DrawString("Plaka kordinatlari : (x,y): (" + sinirlar[0].ToString() + "," + sinirlar[2].ToString() + ")\n en, boy,ort: " + (sinirlar[1] - sinirlar[0]).ToString() + ", "
+ (sinirlar[3] - sinirlar[2]).ToString() + "," + ort.ToString() + " blob sayisi:" + blobs.Length.ToString(), new Font("Arial", 8), Brushes.White, new System.Drawing.Point(sinirlar[0], sinirlar[3] + 4));
}
}
bluePen2.Dispose();
g1.Dispose();
Bitmap bn = null;
Bitmap kes1 = (Bitmap)rect1.Clone();
Graphics g2 = Graphics.FromImage(kes1);
Pen bluePen3 = new Pen(Color.Red, 2);
// her nesne kpntrol edilir ve etrafında daire çizilir.
for (int i = 0, n = blobs.Length; i < n; i++)
{
/* x1,y1--------x2,y1
* x1=0 | |
* x2=1 | |
* y1=2 x1,y2--------x2,y2
* y2=3
*/
List <IntPoint> edgePoints = blobCounter.GetBlobsEdgePoints(blobs[i]);
List <IntPoint> corners = PointsCloud.FindQuadrilateralCorners(edgePoints);
int[] sinirlar = sinir(corners);
sinirlar[0] = sinirlar[0] - 5;
sinirlar[1] = sinirlar[1];
sinirlar[2] = sinirlar[2] - 5;
sinirlar[3] = sinirlar[3] + 5;
int en = sinirlar[1] - sinirlar[0];
int boy = sinirlar[3] - sinirlar[2];
float ort = en / boy;
if (ort >= 3 && ort <= 5.7)
{
g2.DrawLines(bluePen3, new System.Drawing.Point[] { new System.Drawing.Point(sinirlar[0], sinirlar[2]),
new System.Drawing.Point(sinirlar[1], sinirlar[2]), new System.Drawing.Point(sinirlar[1], sinirlar[3]),
new System.Drawing.Point(sinirlar[0], sinirlar[3]), new System.Drawing.Point(sinirlar[0], sinirlar[2]) });
for (int ii = 0; ii < kes1.Width; ii++)
{
for (int ji = 0; ji < kes1.Height; ji++)
{
if ((ii >= sinirlar[0] && ii <= sinirlar[1]) && (ji >= sinirlar[2]) && ji <= sinirlar[3])
{
continue;
}
else
{
kes1.SetPixel(ii, ji, Color.Black);
}
}
}
bn = new Bitmap(en, boy);
Graphics g3 = Graphics.FromImage(bn);
g3.DrawImage(kes1, -sinirlar[0], -sinirlar[2]);
pictureBox2.Image = bn;
}
}
bluePen3.Dispose();
g2.Dispose();
//form(bmp, "Grayscala");
//form(bmpmedian, "Median");
//form(bmpsobe, "sobel");
//form(otsu, "otsu");
//form(bmperosion, "erosion");
//form(bmpdilationn, "dilation");
//form(one, "one");
//form(bmpclosing, "closing");
//form(bmperosionson, "son");
//form(blobson, "blobson");
//form(newImage, "one1");
//form(rect, "rect");
//form(rect1, "rect1");
//form(kes1, "kes1");
//form(bn, "bn");
}
private ImageSource ProcessImageSourceForBitmap(Bitmap bmp)
{
BitmapData bitmapData = bmp.LockBits(new Rectangle(0, 0, bmp.Width, bmp.Height), ImageLockMode.ReadWrite, bmp.PixelFormat);
EuclideanColorFiltering filter = new EuclideanColorFiltering();
filter.CenterColor = new RGB(byte.Parse(redTextBox.Text), byte.Parse(greenTextBox.Text), byte.Parse(blueTextBox.Text));
filter.Radius = short.Parse(radiusTextBox.Text);
filter.ApplyInPlace(bitmapData);
BlobCounter blobCounter = new BlobCounter();
blobCounter.FilterBlobs = true;
blobCounter.MinHeight = 15;
blobCounter.MinWidth = 15;
blobCounter.MaxHeight = bitmapData.Width - 1;
blobCounter.MaxWidth = bitmapData.Width - 1;
blobCounter.ProcessImage(bitmapData);
Blob[] blobs = blobCounter.GetObjectsInformation();
bmp.UnlockBits(bitmapData);
SimpleShapeChecker shapeChecker = new SimpleShapeChecker();
Graphics g = Graphics.FromImage(bmp);
System.Drawing.Pen redPen = new System.Drawing.Pen(System.Drawing.Color.Red, 5);
System.Drawing.Pen yellowPen = new System.Drawing.Pen(System.Drawing.Color.Yellow, 5);
System.Drawing.Pen greenPen = new System.Drawing.Pen(System.Drawing.Color.Green, 5);
System.Drawing.Pen bluePen = new System.Drawing.Pen(System.Drawing.Color.Blue, 5);
for (int i = 0, n = blobs.Length; i < n; i++)
{
List <IntPoint> edgePoints =
blobCounter.GetBlobsEdgePoints(blobs[i]);
AForge.Point center;
float radius;
if (shapeChecker.IsCircle(edgePoints, out center, out radius))
{
g.DrawEllipse(yellowPen,
(float)(center.X - radius), (float)(center.Y - radius),
(float)(radius * 2), (float)(radius * 2));
}
else
{
List <IntPoint> corners;
if (shapeChecker.IsQuadrilateral(edgePoints, out corners))
{
if (shapeChecker.CheckPolygonSubType(corners) == PolygonSubType.Rectangle)
{
g.DrawPolygon(greenPen, ToPointsArray(corners));
}
else
{
g.DrawPolygon(bluePen, ToPointsArray(corners));
}
}
else
{
corners = PointsCloud.FindQuadrilateralCorners(edgePoints);
g.DrawPolygon(redPen, ToPointsArray(corners));
}
}
}
redPen.Dispose();
greenPen.Dispose();
bluePen.Dispose();
yellowPen.Dispose();
g.Dispose();
var handle = bmp.GetHbitmap();
try
{
return(Imaging.CreateBitmapSourceFromHBitmap(handle, IntPtr.Zero, Int32Rect.Empty, BitmapSizeOptions.FromEmptyOptions()));
}
finally { DeleteObject(handle); }
}
private ImageSource ProcessRectangeImageSourceForBitmap(Bitmap bmp)
{
BitmapData bitmapData = bmp.LockBits(new Rectangle((bmp.Width / 2) - (FilterWidth / 2), (bmp.Height / 2) - (FilterHeight / 2), FilterWidth, FilterHeight), ImageLockMode.ReadWrite, bmp.PixelFormat);
EuclideanColorFiltering filter = new EuclideanColorFiltering(new RGB(byte.Parse(redTextBox.Text), byte.Parse(greenTextBox.Text), byte.Parse(blueTextBox.Text)), short.Parse(radiusTextBox.Text));
filter.ApplyInPlace(bitmapData);
if (StartDetecting)
{
BlobCounter blobCounter = new BlobCounter();
blobCounter.FilterBlobs = true;
blobCounter.MinHeight = 2;
blobCounter.MinWidth = 2;
blobCounter.MaxHeight = bitmapData.Height - 1;
blobCounter.MaxWidth = bitmapData.Width - 1;
blobCounter.ProcessImage(bitmapData);
bmp.UnlockBits(bitmapData);
Blob[] blobs = blobCounter.GetObjectsInformation();
SimpleShapeChecker shapeChecker = new SimpleShapeChecker();
Graphics g = Graphics.FromImage(bmp);
System.Drawing.Pen yellowPen = new System.Drawing.Pen(System.Drawing.Color.Yellow, 5);
foreach (var corner in Corners)
{
g.DrawRectangle(yellowPen, corner.X + (bmp.Width / 2) - (FilterWidth / 2), corner.Y + (bmp.Height / 2) - (FilterHeight / 2), 1, 1);
}
for (int i = 0, n = blobs.Length; i < n; i++)
{
List <IntPoint> edgePoints = blobCounter.GetBlobsEdgePoints(blobs[i]);
List <IntPoint> corners;
if (shapeChecker.IsConvexPolygon(edgePoints, out corners))
{
if (calibrated)
{
if (Corners.Count < MAX_CORNERS)
{
foreach (var corner in corners)
{
if (!Corners.Contains(corner))
{
Corners.Add(corner);
}
}
}
else
{
testPassedLabel.Content = "Light was detected";
}
}
}
}
}
var handle = bmp.GetHbitmap();
try
{
return(Imaging.CreateBitmapSourceFromHBitmap(handle, IntPtr.Zero, Int32Rect.Empty, BitmapSizeOptions.FromEmptyOptions()));
}
finally { DeleteObject(handle); }
}
/// <summary>
/// Search for glyphs in the specified image and recognize them.
/// </summary>
///
/// <param name="image">Image to search glyphs in.</param>
///
/// <returns>Return a list of found glyphs.</returns>
///
/// <remarks><para>The method does processing of the specified image and searches for glyphs in it of
/// the specified <see cref="GlyphSize">size</see>. In the case if <see cref="GlyphDatabase">glyphs' database</see>
/// is set, it tries to find a matching glyph in it for each found glyph in the image. If matching is found,
/// then <see cref="ExtractedGlyphData.RecognizedGlyph">RecognizedGlyph</see> and
/// <see cref="ExtractedGlyphData.RecognizedQuadrilateral">RecognizedQuadrilateral</see>
/// properties of <see cref="ExtractedGlyphData"/> are set correspondingly.</para></remarks>
///
/// <exception cref="UnsupportedImageFormatException">Pixel format of the specified image is not supported.
/// It must be 8 bpp indexed or 24/32 bpp color image.</exception>
///
public List <ExtractedGlyphData> FindGlyphs(UnmanagedImage image)
{
List <ExtractedGlyphData> extractedGlyphs = new List <ExtractedGlyphData>( );
if ((image.PixelFormat != PixelFormat.Format8bppIndexed) &&
(!Grayscale.CommonAlgorithms.BT709.FormatTranslations.ContainsKey(image.PixelFormat)))
{
throw new UnsupportedImageFormatException("Pixel format of the specified image is not supported.");
}
// 1 - grayscaling
UnmanagedImage grayImage = null;
if (image.PixelFormat == PixelFormat.Format8bppIndexed)
{
grayImage = image;
}
else
{
grayImage = UnmanagedImage.Create(image.Width, image.Height, PixelFormat.Format8bppIndexed);
Grayscale.CommonAlgorithms.BT709.Apply(image, grayImage);
}
// 2 - Edge detection
UnmanagedImage edgesImage = edgeDetector.Apply(grayImage);
// 3 - Threshold edges
thresholdFilter.ApplyInPlace(edgesImage);
// 4 - Blob Counter
blobCounter.ProcessImage(edgesImage);
Blob[] blobs = blobCounter.GetObjectsInformation( );
// 5 - check each blob
for (int i = 0, n = blobs.Length; i < n; i++)
{
List <IntPoint> edgePoints = blobCounter.GetBlobsEdgePoints(blobs[i]);
List <IntPoint> corners = null;
// does it look like a quadrilateral ?
if (shapeChecker.IsQuadrilateral(edgePoints, out corners))
{
// get edge points on the left and on the right side
List <IntPoint> leftEdgePoints, rightEdgePoints;
blobCounter.GetBlobsLeftAndRightEdges(blobs[i], out leftEdgePoints, out rightEdgePoints);
// calculate average difference between pixel values from outside of the shape and from inside
float diff = CalculateAverageEdgesBrightnessDifference(
leftEdgePoints, rightEdgePoints, grayImage);
// check average difference, which tells how much outside is lighter than inside on the average
if (diff > 20)
{
// perform glyph recognition
ExtractedGlyphData glyphData = RecognizeGlyph(grayImage, corners);
if (glyphData != null)
{
extractedGlyphs.Add(glyphData);
if (extractedGlyphs.Count >= maxNumberOfGlyphsToSearch)
{
break;
}
}
}
}
}
// dispose resources
if (image.PixelFormat != PixelFormat.Format8bppIndexed)
{
grayImage.Dispose( );
}
edgesImage.Dispose( );
return(extractedGlyphs);
}
private void button2_Click(object sender, EventArgs e)
{
button2.Text = "处理中";
switch (comboBox4.SelectedIndex)
{
case 0:
{
Bitmap temp = (Bitmap)pictureBox1.Image;
OilPainting filter3 = new OilPainting(10);
// apply the filter
filter3.ApplyInPlace(temp);
this.pictureBox2.Image = ResizeBitmap(temp);
break;
}
case 1:
{
Bitmap temp = (Bitmap)pictureBox1.Image;
temp = new Grayscale(0.2125, 0.7154, 0.0721).Apply(temp);
DifferenceEdgeDetector edgeDetector = new DifferenceEdgeDetector();
temp = edgeDetector.Apply(temp);
temp = new Threshold((int)numericUpDown1.Value).Apply(temp);
//FillHoles filter2 = new FillHoles();
//filter2.MaxHoleHeight = MinHeight;
//filter2.MaxHoleWidth = MaxWidth;
//filter2.CoupledSizeFiltering = false;
// apply the filter
//temp = filter2.Apply(temp);
//HorizontalRunLengthSmoothing hrls = new HorizontalRunLengthSmoothing(40);
// apply the filter
//hrls.ApplyInPlace(temp);
/*AForge.Imaging.Filters.BlobsFiltering filter = new AForge.Imaging.Filters.BlobsFiltering();
* // 设置过滤条件（对象长、宽至少为70）
* filter.CoupledSizeFiltering = true;
* filter.MaxWidth = (int)numericUpDown3.Value;
* filter.MaxHeight = (int)numericUpDown4.Value;
* filter.MinWidth = (int)numericUpDown5.Value;
* filter.MinHeight = (int)numericUpDown6.Value;
* filter.ApplyInPlace(temp);*/
BlobCounter blobCounter = new BlobCounter();
blobCounter.MinHeight = 32;
blobCounter.MinWidth = 32;
blobCounter.FilterBlobs = true;
blobCounter.ObjectsOrder = ObjectsOrder.Size;
// 4 - find all stand alone blobs
blobCounter.ProcessImage(temp);
Blob[] blobs = blobCounter.GetObjectsInformation();
SimpleShapeChecker shapeChecker = new SimpleShapeChecker();
List <IntPoint> corners = null;
List <IntPoint> corners2 = null;
for (int i = 0, n = blobs.Length; i < n; i++)
{
List <IntPoint> edgePoints = blobCounter.GetBlobsEdgePoints(blobs[i]);
// does it look like a quadrilateral ?
if (shapeChecker.IsQuadrilateral(edgePoints, out corners))
{
// get edge points on the left and on the right side
List <IntPoint> leftEdgePoints, rightEdgePoints;
blobCounter.GetBlobsLeftAndRightEdges(blobs[i],
out leftEdgePoints, out rightEdgePoints);
listBox1.DataSource = leftEdgePoints;
listBox2.DataSource = rightEdgePoints;
}
}
//listBox1.DataSource = corners;
//listBox2.DataSource = corners2;
this.pictureBox1.Image = temp;
break;
}
case 2:
{
Bitmap bt2 = new Bitmap(@"D:\TCL条码\截图01.bmp");
Bitmap bt1 = new Bitmap(@"D:\TCL条码\截图03.bmp");
//Bitmap bt1 = new Bitmap(pictureBox2.Image);
ExhaustiveTemplateMatching tm = new ExhaustiveTemplateMatching(0.80f);
//基于一定的相似性阈值获得匹配块
TemplateMatch[] matchings = tm.ProcessImage(bt1, bt2);
BitmapData data = bt1.LockBits(
new Rectangle(0, 0, bt1.Width, bt1.Height),
ImageLockMode.ReadWrite, bt1.PixelFormat);
foreach (TemplateMatch m in matchings)
{
Drawing.Rectangle(data, m.Rectangle, Color.Red);
}
bt1.UnlockBits(data);
pictureBox2.Image = bt1;
break;
}
case 3:
{
Bitmap bt2 = new Bitmap(@"D:\TCL条码\Canny算法.png");
AForge.Imaging.Filters.BlobsFiltering filter = new AForge.Imaging.Filters.BlobsFiltering();
// 设置过滤条件（对象长、宽至少为70）
filter.CoupledSizeFiltering = true;
filter.MaxWidth = (int)numericUpDown3.Value;
filter.MaxHeight = (int)numericUpDown4.Value;
filter.MinWidth = (int)numericUpDown5.Value;
filter.MinHeight = (int)numericUpDown6.Value;
filter.ApplyInPlace(bt2);
pictureBox1.Image = bt2;
byte[] RESULT = BitmapToBytes(bt2);
break;
}
case 4:
{
Bitmap temp = (Bitmap)pictureBox1.Image;
temp = new Grayscale(0.2125, 0.7154, 0.0721).Apply(temp);
AForge.Imaging.Filters.CannyEdgeDetector filter = new AForge.Imaging.Filters.CannyEdgeDetector();
filter.ApplyInPlace(temp);
pictureBox2.Image = temp;
break;
}
}
button2.Text = "处理";
}
private Bitmap BlobDetection(Bitmap bitmap)
{
var clone = bitmap.Clone() as Bitmap;
var grayscaledBitmap = Grayscale.CommonAlgorithms.BT709.Apply(clone);
new Threshold(Threshold).ApplyInPlace(grayscaledBitmap);
BlobCounter blobCounter = new BlobCounter();
blobCounter.FilterBlobs = true;
blobCounter.MinWidth = 70;
blobCounter.MinHeight = 70;
blobCounter.ObjectsOrder = ObjectsOrder.Size;
blobCounter.ProcessImage(grayscaledBitmap);
Blob[] blobs = blobCounter.GetObjectsInformation();
Bitmap tmp = new Bitmap(grayscaledBitmap.Width, grayscaledBitmap.Height);
Graphics g = Graphics.FromImage(tmp);
g.DrawImage(grayscaledBitmap, new Rectangle(0, 0, tmp.Width, tmp.Height), 0, 0, tmp.Width, tmp.Height, GraphicsUnit.Pixel);
SimpleShapeChecker shapeChecker = new SimpleShapeChecker();
List <IntPoint> edgePoints;
List <IntPoint> c = null;
float radius;
AForge.Point center;
for (int i = 0, n = blobs.Length; i < n; i++)
{
edgePoints = blobCounter.GetBlobsEdgePoints(blobs[i]);
int ipenWidth = 5;
if (shapeChecker.IsQuadrilateral(edgePoints, out c))
{
System.Drawing.Point[] coordinates = ToPointsArray(c);
Pen p = new Pen(Color.Blue, ipenWidth);
if (coordinates.Length == 4)
{
if (ShapeDetection)
{
Rectangle += 1;
rTmp = Rectangle;
}
PaintPolygon(c, bitmap, p);
}
}
if (shapeChecker.IsCircle(edgePoints, out center, out radius))
{
Pen p = new Pen(Color.Red, ipenWidth);
if (ShapeDetection)
{
Circle += 1;
cTmp = Circle;
}
PaintEllipse(bitmap, p, (float)(center.X - radius), (float)(center.Y - radius), (float)(radius * 2), (float)(radius * 2));
}
if (shapeChecker.IsTriangle(edgePoints, out c))
{
System.Drawing.Point[] coordinates = ToPointsArray(c);
Pen p = new Pen(Color.Green, ipenWidth);
if (coordinates.Length == 3)
{
if (ShapeDetection)
{
Triangle += 1;
tTmp = Triangle;
}
PaintPolygon(c, bitmap, p);
}
}
}
if (Renewal)
{
Circle = 0; Rectangle = 0; Triangle = 0;
clickX = 0; clickY = 0; clickZ = 0;
for (int j = 0, k = blobs.Length; j < k; j++)
{
edgePoints = blobCounter.GetBlobsEdgePoints(blobs[j]);
if (shapeChecker.IsQuadrilateral(edgePoints, out c))
{
System.Drawing.Point[] coordinates = ToPointsArray(c);
if (coordinates.Length == 4)
{
Rectangle += 1;
}
}
if (shapeChecker.IsTriangle(edgePoints, out c))
{
System.Drawing.Point[] coordinates = ToPointsArray(c);
if (coordinates.Length == 3)
{
Triangle += 1;
}
}
if (shapeChecker.IsCircle(edgePoints, out center, out radius))
{
Circle += 1;
}
}
}
Renewal = false;
ShapeDetection = false;
return(bitmap);
}
private void ParseImage(int imageId)
{
DateTime startTime = DateTime.Now;
labelDetection.Text = "";
string difImagePath = "";
if (imageId >= 0)
{
difImagePath = DifBoardImages[imageId];
}
Bitmap orig;
Bitmap dif;
try
{
orig = (Bitmap)Bitmap.FromFile(OriginalBoardImage);
if (imageId >= 0)
{
dif = (Bitmap)Bitmap.FromFile(difImagePath);
}
else
{
dif = (Bitmap)pictureBoxGenerated.Image;
}
}
catch {
// kill any exception due to missing files
return;
}
pictureBoxOrig.Image = dif;
Difference filter = new Difference(orig);
dif = filter.Apply(dif);
BlobCounter blobCounter = new BlobCounter();
blobCounter.ProcessImage(dif);
Blob[] blobs = blobCounter.GetObjectsInformation();
// create Graphics object to draw on the image and a pen
Graphics g = Graphics.FromImage(dif);
Pen redPen = new Pen(Color.Red, 3);
Pen bluePen = new Pen(Color.Blue, 1);
SimpleShapeChecker shapeChecker = new SimpleShapeChecker();
// check each object and draw circle around objects, which
// are recognized as circles
for (int i = 0, n = blobs.Length; i < n; i++)
{
List <IntPoint> edgePoints = blobCounter.GetBlobsEdgePoints(blobs[i]);
labelDetection.Text = string.Format("{0} points", edgePoints.Count);
if (edgePoints.Count <= 1)
{
continue;
}
List <IntPoint> points = new List <IntPoint>();
if (shapeChecker.IsQuadrilateral(edgePoints))
{
labelDetection.Text += ", quadrilateral";
}
else if (shapeChecker.IsConvexPolygon(edgePoints, out points))
{
labelDetection.Text += ", convex poligon";
}
else if (shapeChecker.IsTriangle(edgePoints, out points))
{
labelDetection.Text += ", triangle";
}
Pen usePen = shapeChecker.IsQuadrilateral(edgePoints) ? redPen : bluePen;
int centerX = edgePoints[0].X;
int centerY = edgePoints[0].Y;
int minX = centerX;
int minY = centerY;
int maxX = centerX;
int maxY = centerY;
for (int j = 0; j < edgePoints.Count - 1; j++)
{
centerX += edgePoints[j + 1].X;
centerY += edgePoints[j + 1].Y;
if (edgePoints[j + 1].X < minX)
{
minX = edgePoints[j + 1].X;
}
if (edgePoints[j + 1].Y < minY)
{
minY = edgePoints[j + 1].Y;
}
if (edgePoints[j + 1].X > maxX)
{
maxX = edgePoints[j + 1].X;
}
if (edgePoints[j + 1].Y > maxX)
{
maxX = edgePoints[j + 1].Y;
}
g.DrawLine(usePen, edgePoints[j].X, edgePoints[j].Y, edgePoints[j + 1].X, edgePoints[j + 1].Y);
}
g.DrawLine(usePen
, edgePoints[0].X, edgePoints[0].Y
, edgePoints[edgePoints.Count - 1].X, edgePoints[edgePoints.Count - 1].Y);
labelDetectedPosition.Text = string.Format("{0}, {1}"
, new object[] {
(centerX / edgePoints.Count), (centerY / edgePoints.Count)
//, maxX - minX, maxY - minY
});
labelDetectionOffset.Text = string.Format("{0}, {1}"
, Grigore.Position.X - (centerX / edgePoints.Count)
, Grigore.Position.Y - (centerY / edgePoints.Count)
);
}
redPen.Dispose();
bluePen.Dispose();
g.Dispose();
pictureBoxRoboBoard.Image = dif;
labelDetection.Text = string.Format("{1}, {0} sec", (DateTime.Now - startTime), labelDetection.Text);
}
public void nesnebul(Bitmap image)
{
BlobCounter blobCounter = new BlobCounter();
blobCounter.MinWidth = 5;
blobCounter.MinHeight = 5;
blobCounter.FilterBlobs = true;
blobCounter.ObjectsOrder = ObjectsOrder.Size;
//Grayscale griFiltre = new Grayscale(0.2125, 0.7154, 0.0721);
//Grayscale griFiltre = new Grayscale(0.2, 0.2, 0.2);
//Bitmap griImage = griFiltre.Apply(image);
BitmapData objectsData = image.LockBits(new Rectangle(0, 0, image.Width, image.Height), ImageLockMode.ReadOnly, image.PixelFormat);
// grayscaling
Grayscale grayscaleFilter = new Grayscale(0.2125, 0.7154, 0.0721);
UnmanagedImage grayImage = grayscaleFilter.Apply(new UnmanagedImage(objectsData));
// unlock image
image.UnlockBits(objectsData);
blobCounter.ProcessImage(image);
Rectangle[] rects = blobCounter.GetObjectsRectangles();
Blob[] blobs = blobCounter.GetObjectsInformation();
pictureBox2.Image = image;
if (rdiobtnTekCisimTakibi.Checked)
{
//Tekli cisim Takibi Single Tracking--------
foreach (Rectangle recs in rects)
{
if (rects.Length > 0)
{
Rectangle objectRect = rects[0];
//Graphics g = Graphics.FromImage(image);
Graphics g = pictureBox1.CreateGraphics();
using (Pen pen = new Pen(Color.FromArgb(252, 3, 26), 2))
{
g.DrawRectangle(pen, objectRect);
}
//Cizdirilen Dikdörtgenin Koordinatlari aliniyor.
int objectX = objectRect.X + (objectRect.Width / 2);
int objectY = objectRect.Y + (objectRect.Height / 2);
// g.DrawString(objectX.ToString() + "X" + objectY.ToString(), new Font("Arial", 12), Brushes.Red, new System.Drawing.Point(250, 1));
g.Dispose();
if (objectX <= 106 && objectY <= 80)
{
serialPort1.Write("1");
}
else if (objectX >= 106.6 && objectX <= 213 && objectY <= 80)
{
serialPort1.Write("2");
}
else if (objectX <= 320 && objectX >= 213 && objectY <= 80)
{
serialPort1.Write("3");
}
else if (objectX <= 106 && objectY >= 80 && objectY <= 160)
{
serialPort1.Write("4");
}
else if (objectX >= 106 && objectX <= 213 && objectY >= 80 && objectY <= 160)
{
serialPort1.Write("5");
}
else if (objectX >= 213 && objectX <= 320 && objectY >= 80 && objectY <= 160)
{
serialPort1.Write("6");
}
else if (objectX <= 106 && objectY >= 160 && objectY <= 240)
{
serialPort1.Write("7");
}
else if (objectX >= 106 && objectX <= 213 && objectY >= 160 && objectY <= 240)
{
serialPort1.Write("8");
}
else if (objectX >= 213 && objectX <= 320 && objectY >= 160 && objectY <= 240)
{
serialPort1.Write("9");
}
if (chkKoordinatiGoster.Checked)
{
this.Invoke((MethodInvoker) delegate
{
richTextBox1.Text = objectRect.Location.ToString() + "\n" + richTextBox1.Text + "\n";;
});
}
}
}
}
if (rdiobtnCokCisimTakibi.Checked)
{
//Multi tracking Çoklu cisim Takibi-------
for (int i = 0; rects.Length > i; i++)
{
Rectangle objectRect = rects[i];
//Graphics g = Graphics.FromImage(image);
Graphics g = pictureBox1.CreateGraphics();
using (Pen pen = new Pen(Color.FromArgb(252, 3, 26), 2))
{
g.DrawRectangle(pen, objectRect);
g.DrawString((i + 1).ToString(), new Font("Arial", 12), Brushes.Red, objectRect);
}
//Cizdirilen Dikdörtgenin Koordinatlari aliniyor.
int objectX = objectRect.X + (objectRect.Width / 2);
int objectY = objectRect.Y + (objectRect.Height / 2);
// g.DrawString(objectX.ToString() + "X" + objectY.ToString(), new Font("Arial", 12), Brushes.Red, new System.Drawing.Point(250, 1));
if (chkboxMesafeOlcer.Checked)
{
if (rects.Length > 1)
{
for (int j = 0; j < rects.Length - 1; j++)
{
int ilkx = (rects[j].Right + rects[j].Left) / 2;
int ilky = (rects[j].Top + rects[j].Bottom) / 2;
int ikix = (rects[j + 1].Right + rects[j + 1].Left) / 2;
int ikiy = (rects[j + 1].Top + rects[j + 1].Bottom) / 2;
g = pictureBox1.CreateGraphics();
//g.DrawLine(Pens.Red, rects[j].Location, rects[j + 1].Location);
//g.DrawLine(Pens.Blue, rects[0].Location, rects[rects.Length - 1].Location);
g.DrawLine(Pens.Red, ilkx, ilky, ikix, ikiy);
}
}
if (rects.Length == 2)
{
Rectangle ilk = rects[0];
Rectangle iki = rects[1];
int ilkX = ilk.X + (ilk.Width / 2);
int ilkY = ilk.Y + (ilk.Height / 2);
int ikiX = iki.X + (iki.Width / 2);
int ikiY = iki.Y + (iki.Height / 2);
//1 pixel (X) = 0.0264583333333334 centimeter [cm]
double formul = Math.Floor((Math.Sqrt((Math.Pow((ilkX - ikiX), 2)) + Math.Pow((ilkY - ikiY), 2))) * 0.0264);
string uzaklikY = "Y-" + Convert.ToString(ilkX - ikiX);
string uzaklikX = "X-" + Convert.ToString(ilkY - ikiY);
string distance = uzaklikX + " " + uzaklikY;
AForge.Imaging.Drawing.Line(objectsData, new IntPoint((int)ilkX, (int)ilkY), new IntPoint((int)ikiX, (int)ikiY), Color.Blue);
this.Invoke((MethodInvoker) delegate
{
richTextBox2.Text = formul.ToString() + " cm\n" + richTextBox2.Text + " cm\n";;
});
if (chkboxMesafeKordinati.Checked)
{
this.Invoke((MethodInvoker) delegate
{
richTextBox3.Text = distance.ToString() + "\n" + richTextBox3.Text + "\n";;
});
}
}
}
g.Dispose();
// this.Invoke((MethodInvoker)delegate
//{
// richTextBox1.Text = objectRect.Location.ToString() + "\n" + richTextBox1.Text + "\n"; ;
//});
}
}
if (rdiobtnGeoSekil.Checked)
{
SimpleShapeChecker shapeChecker = new SimpleShapeChecker();
Graphics g = pictureBox1.CreateGraphics();
Pen yellowPen = new Pen(Color.Yellow, 2); // circles
Pen redPen = new Pen(Color.Red, 2); // quadrilateral
Pen brownPen = new Pen(Color.Brown, 2); // quadrilateral with known sub-type
Pen greenPen = new Pen(Color.Green, 2); // known triangle
Pen bluePen = new Pen(Color.Blue, 2); // triangle
for (int i = 0, n = blobs.Length; i < n; i++)
{
List <IntPoint> edgePoints = blobCounter.GetBlobsEdgePoints(blobs[i]);
AForge.Point center;
float radius;
// is circle ?
if (shapeChecker.IsCircle(edgePoints, out center, out radius))
{
g.DrawEllipse(yellowPen,
(float)(center.X - radius), (float)(center.Y - radius),
(float)(radius * 2), (float)(radius * 2));
}
else
{
List <IntPoint> corners;
// is triangle or quadrilateral
if (shapeChecker.IsConvexPolygon(edgePoints, out corners))
{
// get sub-type
PolygonSubType subType = shapeChecker.CheckPolygonSubType(corners);
Pen pen;
if (subType == PolygonSubType.Unknown)
{
pen = (corners.Count == 4) ? redPen : bluePen;
}
else
{
pen = (corners.Count == 4) ? brownPen : greenPen;
}
g.DrawPolygon(pen, ToPointsArray(corners));
}
}
}
yellowPen.Dispose();
redPen.Dispose();
greenPen.Dispose();
bluePen.Dispose();
brownPen.Dispose();
g.Dispose();
}
}
/// <summary>
/// Apply filter to an image.
/// </summary>
///
/// <param name="imageData">Source image to get biggest blob from.</param>
///
/// <returns>Returns image of the biggest blob.</returns>
///
/// <exception cref="UnsupportedImageFormatException">Unsupported pixel format of the source image.</exception>
/// <exception cref="UnsupportedImageFormatException">Unsupported pixel format of the original image.</exception>
/// <exception cref="InvalidImagePropertiesException">Source and original images must have the same size.</exception>
/// <exception cref="ArgumentException">The source image does not contain any blobs.</exception>
///
public Bitmap Apply( BitmapData imageData )
{
// check pixel format of the source image
if ( !FormatTranslations.ContainsKey( imageData.PixelFormat ) )
throw new UnsupportedImageFormatException( "Source pixel format is not supported by the filter." );
// locate blobs in the source image
BlobCounter blobCounter = new BlobCounter( imageData );
// get information about blobs
Blob[] blobs = blobCounter.GetObjectsInformation( );
// find the biggest blob
int maxSize = 0;
Blob biggestBlob = null;
for ( int i = 0, n = blobs.Length; i < n; i++ )
{
int size = blobs[i].Rectangle.Width * blobs[i].Rectangle.Height;
if ( size > maxSize )
{
maxSize = size;
biggestBlob = blobs[i];
}
}
// check if any blob was found
if ( biggestBlob == null )
{
throw new ArgumentException( "The source image does not contain any blobs." );
}
blobPosition = new IntPoint( biggestBlob.Rectangle.Left, biggestBlob.Rectangle.Top );
// extract biggest blob's image
if ( originalImage == null )
{
blobCounter.ExtractBlobsImage( new UnmanagedImage( imageData ), biggestBlob, false );
}
else
{
// check original image's format
if (
( originalImage.PixelFormat != PixelFormat.Format24bppRgb ) &&
( originalImage.PixelFormat != PixelFormat.Format32bppArgb ) &&
( originalImage.PixelFormat != PixelFormat.Format32bppRgb ) &&
( originalImage.PixelFormat != PixelFormat.Format32bppPArgb ) &&
( originalImage.PixelFormat != PixelFormat.Format8bppIndexed )
)
{
throw new UnsupportedImageFormatException( "Original image may be grayscale (8bpp indexed) or color (24/32bpp) image only." );
}
// check its size
if ( ( originalImage.Width != imageData.Width ) || ( originalImage.Height != imageData.Height ) )
{
throw new InvalidImagePropertiesException( "Original image must have the same size as passed source image." );
}
blobCounter.ExtractBlobsImage( originalImage, biggestBlob, false );
}
Bitmap managedImage = biggestBlob.Image.ToManagedImage( );
// dispose unmanaged image of the biggest blob
biggestBlob.Image.Dispose( );
return managedImage;
}
// define ProcessIMG function
public void ProcessIMG(Bitmap image)
{
BlobCounter blobCounter = new BlobCounter();
blobCounter.MinWidth = 5;
blobCounter.MinHeight = 5;
blobCounter.FilterBlobs = true;
blobCounter.ObjectsOrder = ObjectsOrder.Size;
// Grayscale griFilter = new Grayscale(0.2125, 0.7154, 0.0721);
//Grayscale griFilter = new Grayscale(0.2, 0.2, 0.2);
//Bitmap griImage = griFilter.Apply(image);
BitmapData objectsData = image.LockBits(new Rectangle(0, 0, image.Width, image.Height), ImageLockMode.ReadOnly, image.PixelFormat);
//grayscaling
Grayscale grayscaleFilter = new Grayscale(0.2125, 0.7154, 0.0721);
UnmanagedImage grayImage = grayscaleFilter.Apply(new UnmanagedImage(objectsData));
// unlock image
image.UnlockBits(objectsData);
blobCounter.ProcessImage(image);
Rectangle[] rects = blobCounter.GetObjectsRectangles();
Blob[] blobs = blobCounter.GetObjectsInformation();
// coordinates:
foreach (Rectangle rc in rects)
{
if ((rects.Length > 0) && (rects[0].Height > 0))
{
Rectangle target = rects[0];
//System.Diagnostics.Debug.WriteLine(
// string.Format("Position: ({0}, {1}), Size: {2} x {3}",
// rc.Left, rc.Top, rc.Width, rc.Height));
PointF drawPoin = new PointF(target.X, target.Y);
objectX = target.X + target.Width / 2 - image.Width / 2;
objectY = image.Height / 2 - (target.Y + target.Height / 2);
// To decide in which direction the robot should steer.
int poZ = 320 - objectX;
Graphics graphic = Graphics.FromImage(image); // To apply Grapghics on video2, that is, pictureBox2.
Graphics g = Graphics.FromImage(image);
using (Pen pen = new Pen(Color.White, 3))
{
graphic.DrawRectangle(pen, target);
// with PointF drawPoin
string Blobinformation = "X= " + objectX.ToString() + "\nY= " + objectY.ToString() + "\nSize=" + target.Size.ToString() + "\npoZ=" + poZ.ToString();
g.DrawString(Blobinformation, new Font("Arial", 19), new SolidBrush(Color.White), drawPoin);
g.DrawString("Target Located !", new Font("Arial", 20), new SolidBrush(Color.White), new PointF(2, 2)); // to demonstrate 'recognition' of target.
g.Dispose();
}
graphic.Dispose();
}
}
pictureBox3.Image = image;
}
/// <summary>
/// Apply template
/// </summary>
/// <param name="template"></param>
/// <param name="image"></param>
public OmrPageOutput ApplyTemplate(OmrTemplate template, ScannedImage image)
{
// Image ready for scan
if (!image.IsReadyForScan)
{
if (!image.IsScannable)
{
image.Analyze();
}
image.PrepareProcessing();
}
// Page output
var retVal = new OmrPageOutput
{
Id = image.TemplateName + DateTime.Now.ToString("yyyyMMddHHmmss"),
TemplateId = image.TemplateName,
Parameters = image.Parameters,
StartTime = DateTime.Now,
Template = template
};
// Save directory for output images
var saveDirectory = string.Empty;
var parmStr = new StringBuilder();
if (SaveIntermediaryImages)
{
if (image.Parameters != null)
{
foreach (var pv in image.Parameters)
{
parmStr.AppendFormat("{0}.", pv);
}
}
retVal.RefImages = new List <string>
{
string.Format("{0}-{1}-init.bmp", retVal.Id, parmStr),
string.Format("{0}-{1}-tx.bmp", retVal.Id, parmStr),
string.Format("{0}-{1}-fields.bmp", retVal.Id, parmStr),
string.Format("{0}-{1}-gs.bmp", retVal.Id, parmStr),
string.Format("{0}-{1}-bw.bmp", retVal.Id, parmStr),
string.Format("{0}-{1}-inv.bmp", retVal.Id, parmStr)
};
saveDirectory = Path.Combine(Path.GetDirectoryName(Assembly.GetEntryAssembly().Location), "imgproc");
if (!Directory.Exists(saveDirectory))
{
Directory.CreateDirectory(saveDirectory);
}
image.Image.Save(Path.Combine(saveDirectory,
string.Format("{0}-{1}-init.bmp", DateTime.Now.ToString("yyyyMMddHHmmss"), parmStr)));
}
// First, we want to get the image from the scanned image and translate it to the original
// position in the template
Bitmap bmp = null;
try
{
bmp = new Bitmap((int)template.BottomRight.X, (int)template.BottomRight.Y, PixelFormat.Format24bppRgb);
// Scale
float width = template.TopRight.X - template.TopLeft.X,
height = template.BottomLeft.Y - template.TopLeft.Y;
// Translate to original
using (var g = Graphics.FromImage(bmp))
{
var bc = new ResizeBicubic((int)width, (int)height);
g.DrawImage(bc.Apply((Bitmap)image.Image), template.TopLeft.X, template.TopLeft.Y);
}
if (SaveIntermediaryImages)
{
bmp.Save(Path.Combine(saveDirectory,
string.Format("{0}-{1}-tx.bmp", DateTime.Now.ToString("yyyyMMddHHmmss"), parmStr)));
}
// Now try to do hit from the template
if (SaveIntermediaryImages)
{
using (var tbmp = bmp.Clone() as Bitmap)
{
using (var g = Graphics.FromImage(tbmp))
{
foreach (var field in template.Fields)
{
g.DrawRectangle(Pens.Black, field.TopLeft.X, field.TopLeft.Y,
field.TopRight.X - field.TopLeft.X, field.BottomLeft.Y - field.TopLeft.Y);
g.DrawString(field.Id, SystemFonts.CaptionFont, Brushes.Black, field.TopLeft);
}
}
tbmp.Save(Path.Combine(saveDirectory,
string.Format("{0}-{1}-fields.bmp", DateTime.Now.ToString("yyyyMMddHHmmss"), parmStr)));
}
}
// Now convert to Grayscale
var grayFilter = new GrayscaleY();
var gray = grayFilter.Apply(bmp);
bmp.Dispose();
bmp = gray;
if (SaveIntermediaryImages)
{
bmp.Save(Path.Combine(saveDirectory,
string.Format("{0}-{1}-gs.bmp", DateTime.Now.ToString("yyyyMMddHHmmss"), parmStr)));
}
// Prepare answers
var hitFields = new Dictionary <OmrQuestionField, OmrOutputData>();
var barScan = new BarcodeReader();
barScan.Options.UseCode39ExtendedMode = true;
barScan.Options.UseCode39RelaxedExtendedMode = true;
barScan.Options.TryHarder = true;
barScan.TryInverted = true;
barScan.Options.PureBarcode = false;
barScan.AutoRotate = true;
foreach (var itm in template.Fields.Where(o => o is OmrBarcodeField))
{
var position = itm.TopLeft;
var size = new SizeF(itm.TopRight.X - itm.TopLeft.X, itm.BottomLeft.Y - itm.TopLeft.Y);
using (
var areaOfInterest =
new Crop(new Rectangle((int)position.X, (int)position.Y, (int)size.Width,
(int)size.Height)).Apply(bmp))
{
// Scan the barcode
var result = barScan.Decode(areaOfInterest);
if (result != null)
{
hitFields.Add(itm, new OmrBarcodeData
{
BarcodeData = result.Text,
Format = result.BarcodeFormat,
Id = itm.Id,
TopLeft =
new PointF(result.ResultPoints[0].X + position.X,
result.ResultPoints[0].Y + position.Y),
BottomRight =
new PointF(result.ResultPoints[1].X + position.X,
result.ResultPoints[0].Y + position.Y + 10)
});
}
}
}
// Now binarize
var binaryThreshold = new Threshold(template.ScanThreshold);
binaryThreshold.ApplyInPlace(bmp);
if (SaveIntermediaryImages)
{
bmp.Save(Path.Combine(saveDirectory,
string.Format("{0}-{1}-bw.bmp", DateTime.Now.ToString("yyyyMMddHHmmss"), parmStr)));
}
// Set return parameters
var tAnalyzeFile = Path.Combine(Path.GetTempPath(), Path.GetTempFileName());
bmp.Save(tAnalyzeFile, ImageFormat.Jpeg);
retVal.AnalyzedImage = tAnalyzeFile;
retVal.BottomRight = new PointF(bmp.Width, bmp.Height);
// Now Invert
var invertFiter = new Invert();
invertFiter.ApplyInPlace(bmp);
if (SaveIntermediaryImages)
{
bmp.Save(Path.Combine(saveDirectory,
string.Format("{0}-{1}-inv.bmp", DateTime.Now.ToString("yyyyMMddHHmmss"), parmStr)));
}
// Crop out areas of interest
var areasOfInterest = new List <KeyValuePair <OmrQuestionField, Bitmap> >();
foreach (var itm in template.Fields.Where(o => o is OmrBubbleField))
{
var position = itm.TopLeft;
var size = new SizeF(itm.TopRight.X - itm.TopLeft.X, itm.BottomLeft.Y - itm.TopLeft.Y);
areasOfInterest.Add(new KeyValuePair <OmrQuestionField, Bitmap>(
itm,
new Crop(new Rectangle((int)position.X, (int)position.Y, (int)size.Width,
(int)size.Height)).Apply(bmp))
);
}
// Queue analysis
var wtp = new WaitThreadPool();
var syncLock = new object();
foreach (var itm in areasOfInterest)
{
wtp.QueueUserWorkItem(img =>
{
var parm = itm;
try
{
var areaOfInterest = parm.Value;
var field = parm.Key;
var blobCounter = new BlobCounter();
blobCounter.FilterBlobs = true;
// Check for circles
blobCounter.ProcessImage(areaOfInterest);
var blobs = blobCounter.GetObjectsInformation();
var blob = blobs.FirstOrDefault(o => o.Area == blobs.Max(b => b.Area));
if (blob != null)
{
//var area = new AForge.Imaging.ImageStatistics(blob).PixelsCountWithoutBlack;
if (blob.Area < 30)
{
return;
}
var bubbleField = field as OmrBubbleField;
lock (syncLock)
{
hitFields.Add(field, new OmrBubbleData
{
Id = field.Id,
Key = bubbleField.Question,
Value = bubbleField.Value,
TopLeft =
new PointF(blob.Rectangle.X + field.TopLeft.X,
blob.Rectangle.Y + field.TopLeft.Y),
BottomRight =
new PointF(blob.Rectangle.X + blob.Rectangle.Width + field.TopLeft.X,
blob.Rectangle.Y + blob.Rectangle.Height + field.TopLeft.Y),
BlobArea = blob.Area
});
}
}
}
catch (Exception e)
{
Trace.TraceError(e.ToString());
}
finally
{
parm.Value.Dispose();
}
}, itm);
}
wtp.WaitOne();
// Organize the response
foreach (var res in hitFields)
{
if (string.IsNullOrEmpty(res.Key.AnswerRowGroup))
{
AddAnswerToOutputCollection(retVal, res);
}
else
{
// Rows of data
var rowGroup = retVal.Details.Find(o => o.Id == res.Key.AnswerRowGroup) as OmrRowData;
if (rowGroup == null)
{
rowGroup = new OmrRowData
{
Id = res.Key.AnswerRowGroup
};
retVal.Details.Add(rowGroup);
}
AddAnswerToOutputCollection(rowGroup, res);
}
}
// Remove temporary images
//foreach (var f in retVal.RefImages)
// File.Delete(Path.Combine(saveDirectory, f));
// Outcome is success
retVal.Outcome = OmrScanOutcome.Success;
}
catch (Exception e)
{
retVal.Outcome = OmrScanOutcome.Failure;
retVal.ErrorMessage = e.Message;
Trace.TraceError(e.ToString());
}
finally
{
retVal.StopTime = DateTime.Now;
bmp.Dispose();
}
return(retVal);
}
private void AugmentedMethod2()
{
UnmanagedImage image = UnmanagedImage.FromManagedImage(new Bitmap(picSource.Image));
// 1 - grayscaling
UnmanagedImage grayImage = null;
if (image.PixelFormat == PixelFormat.Format8bppIndexed)
{
grayImage = image;
}
else
{
grayImage = UnmanagedImage.Create(image.Width, image.Height,
PixelFormat.Format8bppIndexed);
Grayscale.CommonAlgorithms.BT709.Apply(image, grayImage);
}
// 2 - Edge detection
DifferenceEdgeDetector edgeDetector = new DifferenceEdgeDetector();
UnmanagedImage edgesImage = edgeDetector.Apply(grayImage);
// 3 - Threshold edges
Threshold thresholdFilter = new Threshold(40);
thresholdFilter.ApplyInPlace(edgesImage);
// create and configure blob counter
BlobCounter blobCounter = new BlobCounter();
blobCounter.MinHeight = 32;
blobCounter.MinWidth = 32;
blobCounter.FilterBlobs = true;
blobCounter.ObjectsOrder = ObjectsOrder.Size;
// 4 - find all stand alone blobs
blobCounter.ProcessImage(edgesImage);
Blob[] blobs = blobCounter.GetObjectsInformation();
SimpleShapeChecker shapeChecker = new SimpleShapeChecker();
int counter = 0;
// 5 - check each blob
for (int i = 0, n = blobs.Length; i < n; i++)
{
// get edge points on the left and on the right side
List <IntPoint> leftEdgePoints, rightEdgePoints;
blobCounter.GetBlobsLeftAndRightEdges(blobs[i], out leftEdgePoints, out rightEdgePoints);
// calculate average difference between pixel values from outside of the
// shape and from inside
float diff = CalculateAverageEdgesBrightnessDifference(
leftEdgePoints, rightEdgePoints, grayImage);
// check average difference, which tells how much outside is lighter than
// inside on the average
if (diff >= 50)
{
++counter;
}
txtOut.AppendText(diff + ",");
/*List<IntPoint> edgePoints = blobCounter.GetBlobsEdgePoints(blobs[i]);
* List<IntPoint> corners = null;
*
* // does it look like a quadrilateral ?
* if (shapeChecker.IsQuadrilateral(edgePoints, out corners))
* {
++counter;
* }*/
}
txtOut.AppendText(Environment.NewLine);
lblCount.Text = counter.ToString();
picResult.Image = edgesImage.ToManagedImage();
}
public Bitmap DetectElipse(System.Drawing.Image imgOrigin)
{
Bitmap bmp = (Bitmap)imgOrigin;
Bitmap bmpAux = bmp.Clone(new Rectangle(0, 0, bmp.Width, bmp.Height), PixelFormat.Format32bppRgb);
BitmapData bmData = bmpAux.LockBits(
new Rectangle(0, 0, bmpAux.Width, bmpAux.Height),
ImageLockMode.ReadWrite, bmpAux.PixelFormat);
//Turn background to black
ColorFiltering cFilter = new ColorFiltering();
cFilter.Red = new IntRange(0, 60);
cFilter.Green = new IntRange(0, 60);
cFilter.Blue = new IntRange(0, 60);
cFilter.FillOutsideRange = false;
cFilter.ApplyInPlace(bmData);
//cFilter.Apply(bmData);
//Blob --> finding shapes
BlobCounter _blob = new BlobCounter();
//Investigar a fondo
_blob.FilterBlobs = true;
_blob.MinHeight = 30;
_blob.MinWidth = 30;
//Process the image, with magic
_blob.ProcessImage(bmData);
//Found shapes
Blob[] _blobs = _blob.GetObjectsInformation();
bmpAux.UnlockBits(bmData);
//Check found shapes
SimpleShapeChecker shapeChecker = new SimpleShapeChecker();
shapeChecker.MinAcceptableDistortion = 0.7f;
shapeChecker.RelativeDistortionLimit = 0.08f;
//color shapes
Graphics g = Graphics.FromImage(bmpAux);
Pen yellowPen = new Pen(Color.Yellow, 2);
if (_blobs.Length != 0)
{
_elipse = true;
}
for (int i = 0; i < _blobs.Length; i++)
{
//Obtains the edges of the shape
List <IntPoint> edgePoints = _blob.GetBlobsEdgePoints(_blobs[i]);
//Points to the center of the shape
AForge.Point center;
float radius;
if (shapeChecker.IsCircle(edgePoints, out center, out radius))
{
//Draw founded shape
g.DrawEllipse(yellowPen,
(float)(center.X - radius), (float)(center.Y - radius),
(float)(radius * 2), (float)(radius * 2));
}
}
yellowPen.Dispose();
g.Dispose();
return(bmpAux);
}
public void nesnebul(Bitmap image)
{
BlobCounter blobCounter = new BlobCounter();
blobCounter.MinWidth = 5;
blobCounter.MinHeight = 5;
blobCounter.FilterBlobs = true;
blobCounter.ObjectsOrder = ObjectsOrder.Size;
//Grayscale griFiltre = new Grayscale(0.2125, 0.7154, 0.0721);
//Grayscale griFiltre = new Grayscale(0.2, 0.2, 0.2);
//Bitmap griImage = griFiltre.Apply(image);
BitmapData objectsData = image.LockBits(new Rectangle(0, 0, image.Width, image.Height), ImageLockMode.ReadOnly, image.PixelFormat);
// grayscaling
Grayscale grayscaleFilter = new Grayscale(0.2125, 0.7154, 0.0721);
UnmanagedImage grayImage = grayscaleFilter.Apply(new UnmanagedImage(objectsData));
// unlock image
image.UnlockBits(objectsData);
blobCounter.ProcessImage(image);
Rectangle[] rects = blobCounter.GetObjectsRectangles();
Blob[] blobs = blobCounter.GetObjectsInformation();
pictureBox2.Image = image;
if (rdiobtnSingleTracking.Checked)
{
foreach (Rectangle recs in rects)
{
if (rects.Length > 0)
{
Rectangle objectRect = rects[0];
//Graphics g = Graphics.FromImage(image);
Graphics g = pictureBox1.CreateGraphics();
using (Pen pen = new Pen(Color.FromArgb(252, 3, 26), 2))
{
g.DrawRectangle(pen, objectRect);
}
int objectX = objectRect.X + (objectRect.Width / 2);
int objectY = objectRect.Y + (objectRect.Height / 2);
// g.DrawString(objectX.ToString() + "X" + objectY.ToString(), new Font("Arial", 12), Brushes.Red, new System.Drawing.Point(250, 1));
g.Dispose();
if (chkKoordinatiGoster.Checked)
{
this.Invoke((MethodInvoker) delegate
{
richTextBox1.Text = objectRect.Location.ToString() + "\n" + richTextBox1.Text + "\n";;
});
}
}
}
}
if (rdiobtnManyTracking.Checked)
{
FirstR = rects.FirstOrDefault(coordX => coordX.X == rects.Max(x => x.X));
Rectangle tmp = rects.FirstOrDefault(coordX => coordX.X == rects.Min(x => x.X));
SecondR = (tmp == FirstR) ? default(Rectangle) : tmp;
for (int i = 0; rects.Length > i; i++)
{
List <Rectangle> rectsList = new List <Rectangle>();
rectsList.AddRange(rects);
Rectangle objectRect = rects[i];
//Graphics g = Graphics.FromImage(image);
Graphics g = pictureBox1.CreateGraphics();
using (Pen pen = new Pen(Color.FromArgb(252, 3, 26), 2))
{
g.DrawRectangle(pen, objectRect);
g.DrawString((i + 1).ToString(), new Font("Arial", 12), Brushes.Red, objectRect);
}
int objectX = objectRect.X + (objectRect.Width / 2);
int objectY = objectRect.Y + (objectRect.Height / 2);
// g.DrawString(objectX.ToString() + "X" + objectY.ToString(), new Font("Arial", 12), Brushes.Red, new System.Drawing.Point(250, 1));
if (chkboxDistance.Checked)
{
if (rects.Length > 1)
{
for (int j = 0; j < rects.Length - 1; j++)
{
int ilkx = (rects[j].Right + rects[j].Left) / 2;
int ilky = (rects[j].Top + rects[j].Bottom) / 2;
int ikix = (rects[j + 1].Right + rects[j + 1].Left) / 2;
int ikiy = (rects[j + 1].Top + rects[j + 1].Bottom) / 2;
g = pictureBox1.CreateGraphics();
//g.DrawLine(Pens.Red, rects[j].Location, rects[j + 1].Location);
//g.DrawLine(Pens.Blue, rects[0].Location, rects[rects.Length - 1].Location);
g.DrawLine(Pens.Red, ilkx, ilky, ikix, ikiy);
}
}
if (rects.Length == 2)
{
Rectangle ilk = rects[0];
Rectangle iki = rects[1];
int ilkX = ilk.X + (ilk.Width / 2);
int ilkY = ilk.Y + (ilk.Height / 2);
int ikiX = iki.X + (iki.Width / 2);
int ikiY = iki.Y + (iki.Height / 2);
double formul = Math.Floor((Math.Sqrt((Math.Pow((ilkX - ikiX), 2)) + Math.Pow((ilkY - ikiY), 2))) * 0.0264);
string uzaklikY = "Y-" + Convert.ToString(ilkX - ikiX);
string uzaklikX = "X-" + Convert.ToString(ilkY - ikiY);
string distance = uzaklikX + " " + uzaklikY;
AForge.Imaging.Drawing.Line(objectsData, new IntPoint((int)ilkX, (int)ilkY), new IntPoint((int)ikiX, (int)ikiY), Color.Blue);
this.Invoke((MethodInvoker) delegate
{
richTextBox2.Text = formul.ToString() + " cm\n" + richTextBox2.Text + " cm\n";;
});
if (chkboxDistanceCoord.Checked)
{
this.Invoke((MethodInvoker) delegate
{
richTextBox3.Text = distance.ToString() + "\n" + richTextBox3.Text + "\n";;
});
}
}
}
g.Dispose();
// this.Invoke((MethodInvoker)delegate
//{
// richTextBox1.Text = objectRect.Location.ToString() + "\n" + richTextBox1.Text + "\n"; ;
//});
}
}
}
/// <summary>
/// Scans dominant color on image and returns it.
/// Crops rank part on image and analyzes suit part on image
/// </summary>
/// <param name="bmp">Bitmap to be scanned</param>
/// <returns>Returns 'B' for black , 'R' for red</returns>
private char ScanColor(Bitmap bmp)
{
System.Diagnostics.Debug.Flush();
System.Diagnostics.Debug.Print("I'm here");
char color = 'B';
//Crop rank part
Crop crop = new Crop(new Rectangle(0, bmp.Height / 2, bmp.Width, bmp.Height / 2));
bmp = crop.Apply(bmp);
Bitmap temp = commonSeq.Apply(bmp); //Apply filters
//Find suit blob on image
BlobCounter counter = new BlobCounter();
counter.ProcessImage(temp);
Blob[] blobs = counter.GetObjectsInformation();
if (blobs.Length > 0) //If blobs found
{
Blob max = blobs[0];
//Find blob whose size is biggest
foreach (Blob blob in blobs)
{
if (blob.Rectangle.Height > max.Rectangle.Height)
{
max = blob;
}
else if (blob.Rectangle.Height == max.Rectangle.Height)
{
max = blob.Rectangle.Width > max.Rectangle.Width ? blob : max;
}
}
QuadrilateralTransformation trans = new QuadrilateralTransformation();
trans.SourceQuadrilateral = PointsCloud.FindQuadrilateralCorners(counter.GetBlobsEdgePoints(max));
bmp = trans.Apply(bmp); //Extract suit
}
//Lock Bits for processing
BitmapData imageData = bmp.LockBits(new Rectangle(0, 0, bmp.Width, bmp.Height),
ImageLockMode.ReadOnly, bmp.PixelFormat);
int totalRed = 0;
int totalBlack = 0;
unsafe
{
//Count red and black pixels
try
{
UnmanagedImage img = new UnmanagedImage(imageData);
int height = img.Height;
int width = img.Width;
int pixelSize = (img.PixelFormat == PixelFormat.Format24bppRgb) ? 3 : 4;
byte *p = (byte *)img.ImageData.ToPointer();
// for each line
for (int y = 0; y < height; y++)
{
// for each pixel
for (int x = 0; x < width; x++, p += pixelSize)
{
int r = (int)p[RGB.R]; //Red pixel value
int g = (int)p[RGB.G]; //Green pixel value
int b = (int)p[RGB.B]; //Blue pixel value
if (r > g + b) //If red component is bigger then total of green and blue component
{
totalRed++; //then its red
}
else if (r <= g + b && (r < 50 && g < 50)) //If all components less 70
{
totalBlack++; //then its black
}
}
}
}
finally
{
bmp.UnlockBits(imageData); //Unlock
}
}
if (totalRed > totalBlack) //If red is dominant
{
color = 'R'; //Set color as Red
}
return(color);
}
private void ProcessImage(Bitmap bitmap)
{
// lock image
BitmapData bitmapData = bitmap.LockBits(
new Rectangle(0, 0, bitmap.Width, bitmap.Height),
ImageLockMode.ReadWrite, bitmap.PixelFormat);
// step 1 - turn background to black
ColorFiltering colorFilter = new ColorFiltering();
colorFilter.Red = new IntRange(Properties.Settings.Default.camFilterRed1, Properties.Settings.Default.camFilterRed2);
colorFilter.Green = new IntRange(Properties.Settings.Default.camFilterGreen1, Properties.Settings.Default.camFilterGreen2);
colorFilter.Blue = new IntRange(Properties.Settings.Default.camFilterBlue1, Properties.Settings.Default.camFilterBlue2);
colorFilter.FillOutsideRange = Properties.Settings.Default.camFilterOutside;
colorFilter.ApplyInPlace(bitmapData);
// step 2 - locating objects
BlobCounter blobCounter = new BlobCounter();
blobCounter.FilterBlobs = true;
blobCounter.MinHeight = (int)Properties.Settings.Default.camShapeSizeMin * (int)cameraZoom;
blobCounter.MinWidth = (int)Properties.Settings.Default.camShapeSizeMin * (int)cameraZoom;
blobCounter.MaxHeight = (int)Properties.Settings.Default.camShapeSizeMax * (int)cameraZoom;
blobCounter.MaxWidth = (int)Properties.Settings.Default.camShapeSizeMax * (int)cameraZoom;
blobCounter.ProcessImage(bitmapData);
Blob[] blobs = blobCounter.GetObjectsInformation();
bitmap.UnlockBits(bitmapData);
// step 3 - check objects' type and highlight
SimpleShapeChecker shapeChecker = new SimpleShapeChecker();
shapeChecker.MinAcceptableDistortion = (float)Properties.Settings.Default.camShapeDist;
shapeChecker.RelativeDistortionLimit = (float)Properties.Settings.Default.camShapeDistMax;
Graphics g = Graphics.FromImage(bitmap);
Pen yellowPen = new Pen(Color.Yellow, 5); // circles
Pen redPen = new Pen(Color.Red, 10); // circles
Pen greenPen = new Pen(Color.Green, 5); // known triangle
double lowestDistance = xmid;
double distance;
shapeFound = false;
AForge.Point center;
double shapeRadius = 1;
for (int i = 0, n = blobs.Length; i < n; i++)
{
List <IntPoint> edgePoints = blobCounter.GetBlobsEdgePoints(blobs[i]);
System.Single radius;
// is circle ?
// g.DrawPolygon(greenPen, ToPointsArray(edgePoints));
if (Properties.Settings.Default.camShapeCircle && shapeChecker.IsCircle(edgePoints, out center, out radius))
{
shapeFound = true;
distance = center.DistanceTo((AForge.Point)picCenter);
g.DrawEllipse(yellowPen,
(float)(shapeCenter.X - shapeRadius), (float)(shapeCenter.Y - shapeRadius),
(float)(shapeRadius * 2), (float)(shapeRadius * 2));
if (lowestDistance > Math.Abs(distance))
{
lowestDistance = Math.Abs(distance);
shapeCenter = center;
shapeRadius = radius;
}
}
List <IntPoint> corners;
if (Properties.Settings.Default.camShapeRect && shapeChecker.IsQuadrilateral(edgePoints, out corners)) //.IsConvexPolygon
{
IntPoint minxy, maxxy, centxy;
shapeFound = true;
PolygonSubType subType = shapeChecker.CheckPolygonSubType(corners);
g.DrawPolygon(yellowPen, ToPointsArray(corners));
PointsCloud.GetBoundingRectangle(corners, out minxy, out maxxy);
centxy = (minxy + maxxy) / 2;
distance = picCenter.DistanceTo(centxy);// PointsCloud.GetCenterOfGravity(corners));
if (lowestDistance > Math.Abs(distance))
{
lowestDistance = Math.Abs(distance);
shapeCenter = centxy; // PointsCloud.GetCenterOfGravity(corners);
shapeRadius = maxxy.DistanceTo(minxy) / 2; // 50;
}
}
}
if (shapeFound)
{
g.DrawEllipse(redPen,
(float)(shapeCenter.X - shapeRadius * 1.2), (float)(shapeCenter.Y - shapeRadius * 1.2),
(float)(shapeRadius * 2.4), (float)(shapeRadius * 2.4));
}
yellowPen.Dispose();
redPen.Dispose();
greenPen.Dispose();
g.Dispose();
pictureBoxVideo.BackgroundImage = bitmap;
}
/// <summary>
/// Performs the analysis on the image
/// </summary>
public void Analyze(bool thorough = true)
{
if (this.m_disposed)
{
throw new ObjectDisposedException("ImageProcessor");
}
if (this.IsScannable)
{
return;
}
LuminanceSource source = new BitmapLuminanceSource(this.m_bitmap);
var binarizer = new HybridBinarizer(source);
var binBitmap = new BinaryBitmap(binarizer);
// Try to extract the form data
var barReader = new ZXing.BarcodeReader();
barReader.AutoRotate = true;
barReader.Options.TryHarder = thorough;
barReader.Options.PossibleFormats = new List <BarcodeFormat>()
{
BarcodeFormat.CODE_128
};
this.m_barcodeResults = barReader.DecodeMultiple(source);
// Look for barcode markers if possible
if (this.m_barcodeResults != null)
{
this.m_markerCodes = this.m_barcodeResults.Where(o => o.Text.StartsWith("OMR:")).ToArray();
}
this.IsScannable = true;
// Get the template data
var markerCode = this.m_markerCodes == null ? null : this.m_markerCodes.FirstOrDefault(o => o.Text.StartsWith("OMR:TL") || o.Text.StartsWith("OMR:ID"));
// Get the guiding points by circles
GrayscaleY grayFilter = new GrayscaleY();
Threshold thresholdFilter = new Threshold(127);
Invert invertFilter = new Invert();
using (Bitmap searchImage = invertFilter.Apply(thresholdFilter.Apply(grayFilter.Apply(this.m_bitmap))))
{
// Blobs
BlobCounter blobCounter = new BlobCounter();
blobCounter.FilterBlobs = true;
blobCounter.MinHeight = 30;
blobCounter.MinWidth = 30;
// Check for circles
blobCounter.ProcessImage(searchImage);
Blob[] blobs = blobCounter.GetObjectsInformation();
SimpleShapeChecker shapeChecker = new SimpleShapeChecker();
List <AForge.Point> controlPoints = new List <AForge.Point>();
int currentCheck = 45;
while (currentCheck-- > 20 && controlPoints.Count != 4)
{
controlPoints.Clear();
// Get the positions
foreach (var blob in blobs)
{
AForge.Point center = new AForge.Point();
float radius = 0;
if (shapeChecker.IsCircle(blobCounter.GetBlobsEdgePoints(blob), out center, out radius) &&
radius > currentCheck)
{
controlPoints.Add(center);
}
}
}
// Control points
this.IsScannable &= controlPoints.Count == 4;
if (!this.IsScannable)
{
return;
}
// Now set markers
this.m_topLeft = controlPoints[0]; //new AForge.Point(this.m_bitmap.Width + 10, this.m_bitmap.Height + 10);
this.m_topRight = controlPoints[1];
this.m_bottomLeft = controlPoints[2];
this.m_bottomRight = controlPoints[3];
// Find the right most bubble
float rightMost = controlPoints.Select(o => o.X).Max(),
leftMost = controlPoints.Select(o => o.X).Min();
// Organize those that are left/right
AForge.Point[] lefties = controlPoints.Where(o => o.X < leftMost + (rightMost - leftMost) / 2).ToArray(),
righties = controlPoints.Where(o => o.X > leftMost + (rightMost - leftMost) / 2).ToArray();
// HACK:
if (lefties[0].Y < lefties[1].Y)
{
this.m_topLeft = lefties[0];
this.m_bottomLeft = lefties[1];
}
else
{
this.m_topLeft = lefties[1];
this.m_bottomLeft = lefties[0];
}
// HACK:
if (righties[0].Y < righties[1].Y)
{
this.m_topRight = righties[0];
this.m_bottomRight = righties[1];
}
else
{
this.m_topRight = righties[1];
this.m_bottomRight = righties[0];
}
}
if (!this.IsScannable)
{
return;
}
// Get the template data
if (this.m_markerCodes != null && markerCode != null)
{
String[] templateData = markerCode.Text.Split(':');
if (templateData.Length > 2)
{
this.TemplateName = templateData[2];
if (templateData.Length > 3)
{
this.Parameters = templateData.Skip(3).ToArray();
}
}
}
}
private void btn_search_Click(object sender, EventArgs e)
{
//bright = 0;
// value = 10;
openFileDialog1.Title = "영상파일 열기";
openFileDialog1.Filter = "All Files(*.*)|*.*| Bitmap File(*.bmp)|*.bmp|GIF File(*.gif)|*.gif|JPEG File(*.jpg)|*.jpg|PNG file(*.png)|*.png|TIFF(*.tif)|*.tif";
if (openFileDialog1.ShowDialog() == DialogResult.OK)
{
openstrFilename = openFileDialog1.FileName;
image = System.Drawing.Image.FromFile(openstrFilename);
myBitmap = new Bitmap(image);
this.xray_preview.Image = myBitmap;// 원 이미지를 담는 PictureBox 개체
}
//임시화일삭제
string filePath = @"Image\temp.jpg";
FileInfo file = new FileInfo(filePath);
if (file.Exists)
{
file.Delete();
}
/*
*손바닥 외곽선 추출
*/
Bitmap CroppedImage = myBitmap.Clone(new System.Drawing.Rectangle(0, 100, myBitmap.Width, (myBitmap.Height - 100)), myBitmap.PixelFormat); //손바닥
int width = 600;
int height = 600;
Size resize = new Size(width, height);
resizeImage = new Bitmap(CroppedImage, resize);
gsImage = Grayscale.CommonAlgorithms.BT709.Apply(resizeImage);
filter = new CannyEdgeDetector();
edge = filter.Apply(gsImage);
//외곽선 블러링
Blur hfilter = new Blur();
// apply the filter
hfilter.ApplyInPlace(edge);
///////////////////////////
// process image with blob counter
BlobCounter hblobCounter = new BlobCounter();
hblobCounter.ProcessImage(edge);
Blob[] hblobs = hblobCounter.GetObjectsInformation();
// create convex hull searching algorithm
GrahamConvexHull hhullFinder = new GrahamConvexHull();
// lock image to draw on it
BitmapData hdata = edge.LockBits(new Rectangle(0, 0, edge.Width, edge.Height), ImageLockMode.ReadWrite, edge.PixelFormat);
// process each blob
List <IntPoint> hhull = new List <IntPoint> {
};
List <IntPoint> hedgePoints = new List <IntPoint> {
};
int hblobcount = 0;
int hminX = 0, hmaxX = 700, hminY = 0, hmaxY = 700;
foreach (Blob blob in hblobs)
{
List <IntPoint> leftPoints, rightPoints;
// get blob's edge points
hblobCounter.GetBlobsLeftAndRightEdges(blob, out leftPoints, out rightPoints);
hedgePoints.AddRange(leftPoints);
hedgePoints.AddRange(rightPoints);
// blob's convex hull
hhull = hhullFinder.FindHull(hedgePoints);
foreach (IntPoint hulls in hhull)
{ // convexhull 최외곽선 추출
if (hblobcount == 0)
{
hminX = hulls.X; hmaxX = hulls.X;
hminY = hulls.Y; hmaxY = hulls.Y;
}
if (hminX > hulls.X)
{
hminX = hulls.X;
}
else if (hmaxX < hulls.X)
{
hmaxX = hulls.X;
}
if (hminY > hulls.Y)
{
hminY = hulls.Y;
}
else if (hmaxY < hulls.Y)
{
hmaxY = hulls.Y;
}
hblobcount++;
}
Drawing.Polygon(hdata, hhull, Color.White);
}
edge = edge.Clone(new Rectangle(hminX, hminY, hmaxX - hminX, hmaxY - hminY), myBitmap.PixelFormat);
this.xray_preview.Image = edge;
///////////////////////////////////
//수골 및 지골 분할 및 특징 추출
//손목 : 요골 및 척골 (2곳)
//손바닥 : 제1,3,5지 중수골 (3곳)
//손가락 : 제1,3,5지 기절골 및 말절골 (6곳)
//손가락 : 제3. 5지 중수골 (2곳)
///////////////////////////////
//요골 추출 및 인지 알고리즘
CroppedImage1 = myBitmap.Clone(new System.Drawing.Rectangle(270, 620, 250, 180), myBitmap.PixelFormat); //1. 요골
//이미지 사이즈 정규화 요골 크롭 이미지 250 X 180 -> 125 X 125
CroppedImage1 = CroppedImage1.Clone(new System.Drawing.Rectangle(10, 0, 230, 150), myBitmap.PixelFormat);
width = 125;
height = 125;
resize = new Size(width, height);
resizeImage = new Bitmap(CroppedImage1, resize);
//전처리 및 특징 추출 루틴
//DetectCorners(CroppedImage1);
gsImage = Grayscale.CommonAlgorithms.BT709.Apply(resizeImage);
filter = new CannyEdgeDetector();
edge = filter.Apply(gsImage);
//외곽선 블러링
Blur Bfilter = new Blur();
// apply the filter
Bfilter.ApplyInPlace(edge);
///////////////////////////
// process image with blob counter
BlobCounter blobCounter = new BlobCounter();
blobCounter.ProcessImage(edge);
Blob[] blobs = blobCounter.GetObjectsInformation();
// create convex hull searching algorithm
GrahamConvexHull hullFinder = new GrahamConvexHull();
// lock image to draw on it
BitmapData data = edge.LockBits(new Rectangle(0, 0, edge.Width, edge.Height), ImageLockMode.ReadWrite, edge.PixelFormat);
// process each blob
List <IntPoint> hull = new List <IntPoint> {
};
List <IntPoint> edgePoints = new List <IntPoint> {
};
int blobcount = 0;
int minX = 0, maxX = 125, minY = 0, maxY = 125;
foreach (Blob blob in blobs)
{
List <IntPoint> leftPoints, rightPoints;
// get blob's edge points
blobCounter.GetBlobsLeftAndRightEdges(blob, out leftPoints, out rightPoints);
edgePoints.AddRange(leftPoints);
edgePoints.AddRange(rightPoints);
// blob's convex hull
hull = hullFinder.FindHull(edgePoints);
foreach (IntPoint hulls in hull) // convexhull 최외곽선 추출
{
if (blobcount == 0)
{
minX = hulls.X; maxX = hulls.X;
minY = hulls.Y; maxY = hulls.Y;
}
if (minX > hulls.X)
{
minX = hulls.X;
}
else if (maxX < hulls.X)
{
maxX = hulls.X;
}
if (minY > hulls.Y)
{
minY = hulls.Y;
}
else if (maxY < hulls.Y)
{
maxY = hulls.Y;
}
blobcount++;
}
Drawing.Polygon(data, hull, Color.White);
}
edge = resizeImage.Clone(new System.Drawing.Rectangle(minX, minY, maxX - minX, maxY - minY), myBitmap.PixelFormat);
CroppedImage1.Save(@"Image\temp.jpg", ImageFormat.Jpeg);
this.pB_radius.Image = edge;
/////////////////////////////////////////////////////////////
////////////////////////
//척골
//////////////
CroppedImage2 = myBitmap.Clone(new System.Drawing.Rectangle(133, 620, 200, 180), myBitmap.PixelFormat); //2. 척골
//이미지 사이즈 정규화 요골 크롭 이미지 250 X 180 -> 125 X 125
CroppedImage2 = CroppedImage2.Clone(new System.Drawing.Rectangle(0, 20, 200, 150), myBitmap.PixelFormat);
width = 125;
height = 125;
resize = new Size(width, height);
resizeImage = new Bitmap(CroppedImage2, resize);
//전처리 및 특징 추출 루틴
//DetectCorners(CroppedImage1);
gsImage = Grayscale.CommonAlgorithms.BT709.Apply(resizeImage);
filter = new CannyEdgeDetector();
edge = filter.Apply(gsImage);
//외곽선 블러링
Bfilter = new Blur();
// apply the filter
Bfilter.ApplyInPlace(edge);
///////////////////////////
// process image with blob counter
blobCounter = new BlobCounter();
blobCounter.ProcessImage(edge);
blobs = blobCounter.GetObjectsInformation();
// create convex hull searching algorithm
hullFinder = new GrahamConvexHull();
// lock image to draw on it
BitmapData data1 = edge.LockBits(new Rectangle(0, 0, edge.Width, edge.Height), ImageLockMode.ReadWrite, edge.PixelFormat);
// process each blob
hull = new List <IntPoint> {
};
edgePoints = new List <IntPoint> {
};
blobcount = 0;
minX = 0; maxX = 125; minY = 0; maxY = 125;
foreach (Blob blob in blobs)
{
List <IntPoint> leftPoints, rightPoints;
// get blob's edge points
blobCounter.GetBlobsLeftAndRightEdges(blob, out leftPoints, out rightPoints);
edgePoints.AddRange(leftPoints);
edgePoints.AddRange(rightPoints);
// blob's convex hull
hull = hullFinder.FindHull(edgePoints);
foreach (IntPoint hulls in hull)
{ // convexhull 최외곽선 추출
if (blobcount == 0)
{
minX = hulls.X; maxX = hulls.X;
minY = hulls.Y; maxY = hulls.Y;
}
if (minX > hulls.X)
{
minX = hulls.X;
}
else if (maxX < hulls.X)
{
maxX = hulls.X;
}
if (minY > hulls.Y)
{
minY = hulls.Y;
}
else if (maxY < hulls.Y)
{
maxY = hulls.Y;
}
blobcount++;
}
Drawing.Polygon(data1, hull, Color.White);
}
Bitmap edge1 = resizeImage.Clone(new System.Drawing.Rectangle(minX, minY, (maxX - minX), (maxY - minY)), myBitmap.PixelFormat);
this.pB_ulna.Image = edge1;
///////////////////////////////////////
CroppedImage3 = myBitmap.Clone(new System.Drawing.Rectangle(390, 500, 180, 180), myBitmap.PixelFormat); //3. 제1지 중수골
resizeImage = new Bitmap(CroppedImage3, resize);
this.pB_Met1.Image = CroppedImage3;
CroppedImage4 = myBitmap.Clone(new System.Drawing.Rectangle(266, 266, 180, 180), myBitmap.PixelFormat); //4.제3지 기절골/중절골
resizeImage = new Bitmap(CroppedImage4, resize);
this.pB_Met3.Image = CroppedImage4;
CroppedImage5 = myBitmap.Clone(new System.Drawing.Rectangle(75, 335, 180, 180), myBitmap.PixelFormat); //5. 제5지 중수골/기절골
resizeImage = new Bitmap(CroppedImage5, resize);
this.pB_Met5.Image = CroppedImage5;
CroppedImage6 = myBitmap.Clone(new System.Drawing.Rectangle(534, 410, 180, 180), myBitmap.PixelFormat); //6. 제1지 기절골
resizeImage = new Bitmap(CroppedImage6, resize);
this.pB_Pph1.Image = CroppedImage6;
CroppedImage7 = myBitmap.Clone(new System.Drawing.Rectangle(266, 266, 180, 180), myBitmap.PixelFormat); //7. 제3지 기절골/중절골
resizeImage = new Bitmap(CroppedImage7, resize);
this.pB_Pph3.Image = CroppedImage7;
CroppedImage8 = myBitmap.Clone(new System.Drawing.Rectangle(75, 335, 180, 180), myBitmap.PixelFormat); //8. 제5지 중수골/기절골
resizeImage = new Bitmap(CroppedImage8, resize);
this.pB_Pph5.Image = CroppedImage8;
CroppedImage9 = myBitmap.Clone(new System.Drawing.Rectangle(260, 110, 180, 180), myBitmap.PixelFormat); //9. 제3자 중절골
resizeImage = new Bitmap(CroppedImage9, resize);
this.pB_Mph3.Image = CroppedImage9;
CroppedImage10 = myBitmap.Clone(new System.Drawing.Rectangle(0, 250, 180, 180), myBitmap.PixelFormat); //10. 제5지 중절골
resizeImage = new Bitmap(CroppedImage10, resize);
this.pB_Mph5.Image = CroppedImage10;
CroppedImage11 = myBitmap.Clone(new System.Drawing.Rectangle(620, 320, 180, 180), myBitmap.PixelFormat); //11. 제1지 말절골
resizeImage = new Bitmap(CroppedImage11, resize);
this.pB_Dph1.Image = CroppedImage11;
CroppedImage12 = myBitmap.Clone(new System.Drawing.Rectangle(260, 0, 180, 180), myBitmap.PixelFormat); //12. 제3지 말절골
resizeImage = new Bitmap(CroppedImage12, resize);
this.pB_Dph3.Image = CroppedImage12;
CroppedImage13 = myBitmap.Clone(new System.Drawing.Rectangle(0, 133, 180, 180), myBitmap.PixelFormat); //13. 제5지 말절골
resizeImage = new Bitmap(CroppedImage13, resize);
this.pB_Dph5.Image = CroppedImage13;
//edge.UnlockBits(data1);
//edge.UnlockBits(data);
}
/// <summary> Blob Detection
/// This method for color object detection by Blob counter algorithm.
/// If you using this method, then you can detecting as follows:
/// red circle, rectangle, triangle
/// blue circle, rectangle, triangle
/// green circle, rectangle, triangle
/// the process of this method as follow:
/// 1. color filtering by Euclidean filtering(R, G, B).
/// 2. the grayscale filtering based on color filtered image.
/// 3. In this step, you can choose the blur option. Applied blur option(or not),
/// this method donging Sobel edge filtering based on grayscale(or grayscale + blur) image.
/// 4. the binary filtering based on edge filter image.
/// 5. Finally, detecting object, distance from the camera and degree are expreed on picturebox 1.
/// </summary>
private Bitmap BlobDetection(Bitmap _bitmapSourceImage)
{
#region Color filtering by Euclidean filtering
switch (iColorMode)
{
case 1:
//_colorFilter.CenterColor = new RGB(230, 30, 30);
iRedValue = sbRedColor.Value;
iBlueValue = sbBlueColor.Value;
iGreenValue = sbGreenColor.Value;
_colorFilter.CenterColor = new RGB((byte)iRedValue, (byte)iGreenValue, (byte)iBlueValue);
_colorFilter.Radius = (short)iRadius;
_colorFilterImage = _colorFilter.Apply(_bitmapSourceImage);
break;
case 2:
iRedValue = sbRedColor.Value;
iBlueValue = sbBlueColor.Value;
iGreenValue = sbGreenColor.Value;
_colorFilter.CenterColor = new RGB((byte)iRedValue, (byte)iGreenValue, (byte)iBlueValue);
_colorFilter.Radius = (short)iRadius;
_colorFilterImage = _colorFilter.Apply(_bitmapSourceImage);
break;
case 3:
iRedValue = sbRedColor.Value;
iBlueValue = sbBlueColor.Value;
iGreenValue = sbGreenColor.Value;
_colorFilter.CenterColor = new RGB((byte)iRedValue, (byte)iGreenValue, (byte)iBlueValue);
_colorFilter.Radius = (short)iRadius;
_colorFilterImage = _colorFilter.Apply(_bitmapSourceImage);
break;
}
#endregion
Grayscale _grayscale = new Grayscale(0.2125, 0.7154, 0.0721);
_bitmapGreyImage = _grayscale.Apply(_colorFilterImage);
#region blur option with Edge filter
//create a edge detector instance
if (_blurFlag == true)
{
//Blur _blurfilter = new Blur();
GaussianBlur _blurfilter = new GaussianBlur(1.5);
_bitmapBlurImage = _blurfilter.Apply(_bitmapGreyImage);
_bitmapEdgeImage = _edgeFilter.Apply(_bitmapBlurImage);
}
else if (_blurFlag == false)
{
_bitmapEdgeImage = _edgeFilter.Apply(_bitmapGreyImage);
}
#endregion
Threshold _threshold = new Threshold(iThreshold);
_bitmapBinaryImage = _threshold.Apply(_bitmapEdgeImage);
///
/// blob counter algorithm initailze.
/// BlobCounter.MinWidth and MinHeight -> for the defined minimum region
///
BlobCounter _blobCounter = new BlobCounter();
//Configure Filter
_blobCounter.MinWidth = 70;
_blobCounter.MinHeight = 70;
_blobCounter.FilterBlobs = true;
_blobCounter.ProcessImage(_bitmapBinaryImage);
Blob[] _blobPoints = _blobCounter.GetObjectsInformation();
Graphics _g = Graphics.FromImage(_bitmapSourceImage);
SimpleShapeChecker _shapeChecker = new SimpleShapeChecker();
for (int i = 0; i < _blobPoints.Length; i++)
{
List <IntPoint> _edgePoint = _blobCounter.GetBlobsEdgePoints(_blobPoints[i]);
List <IntPoint> _corners = null;
AForge.Point _center;
float _radius;
#region detecting Rectangle
///
/// _corners: the corner of Quadrilateral
///
if (_shapeChecker.IsQuadrilateral(_edgePoint, out _corners))
{
//Drawing the reference point of the picturebox
_g.DrawEllipse(_PictureboxPen, (float)(pictureBox1.Size.Width),
(float)(pictureBox1.Size.Height),
(float)10, (float)10);
// Drawing setting for outline of detected object
Rectangle[] _rects = _blobCounter.GetObjectsRectangles();
System.Drawing.Point[] _coordinates = ToPointsArray(_corners);
Pen _pen = new Pen(Color.Blue, ipenWidth);
int _x = _coordinates[0].X;
int _y = _coordinates[0].Y;
// Drawing setting for centroid of detected object
int _centroid_X = (int)_blobPoints[0].CenterOfGravity.X;
int _centroid_Y = (int)_blobPoints[0].CenterOfGravity.Y;
//Drawing the centroid point of object
_g.DrawEllipse(_pen, (float)(_centroid_X), (float)(_centroid_Y), (float)10, (float)10);
//Degree calculation
int _deg_x = (int)_centroid_X - pictureBox1.Size.Width;
int _deg_y = pictureBox1.Size.Height - (int)_centroid_Y;
textBox1.Text = ("Degree: (" + _deg_x + ", " + _deg_y + ")");
///
/// Drawing outline of detected object
///
if (_coordinates.Length == 4)
{
string _shapeString = "" + _shapeChecker.CheckShapeType(_edgePoint);
_g.DrawString(_shapeString, _font, _brush, _x, _y);
_g.DrawPolygon(_pen, ToPointsArray(_corners));
}
//size of rectange
foreach (Rectangle rc in _rects)
{
///for debug
//System.Diagnostics.Debug.WriteLine(
// string.Format("Rect size: ({0}, {1})", rc.Width, rc.Height));
iFeatureWidth = rc.Width;
//check the FindDistance method.
double dis = FindDistance(iFeatureWidth);
_g.DrawString(dis.ToString("N2") + "cm", _font, _brush, _x, _y + 60);
}
}
#endregion
#region detecting Circle
///
/// _center: the center of circle
/// _radius: the radius of circle
///
if (_shapeChecker.IsCircle(_edgePoint, out _center, out _radius))
{
//Drawing the reference point
_g.DrawEllipse(_PictureboxPen, (float)(pictureBox1.Size.Width),
(float)(pictureBox1.Size.Height),
(float)10, (float)10);
// Drawing setting for outline of detected object
Rectangle[] _rects = _blobCounter.GetObjectsRectangles();
Pen _pen = new Pen(Color.Red, ipenWidth);
string _shapeString = "" + _shapeChecker.CheckShapeType(_edgePoint);
int _x = (int)_center.X;
int _y = (int)_center.Y;
///
/// Drawing outline of detected object
///
_g.DrawString(_shapeString, _font, _brush, _x, _y);
_g.DrawEllipse(_pen, (float)(_center.X - _radius),
(float)(_center.Y - _radius),
(float)(_radius * 2),
(float)(_radius * 2));
//Drawing the centroid point of object
int _centroid_X = (int)_blobPoints[0].CenterOfGravity.X;
int _centroid_Y = (int)_blobPoints[0].CenterOfGravity.Y;
_g.DrawEllipse(_pen, (float)(_centroid_X), (float)(_centroid_Y), (float)10, (float)10);
//Degree calculation
int _deg_x = _centroid_X - pictureBox1.Size.Width;
int _deg_y = pictureBox1.Size.Height - _centroid_Y;
textBox1.Text = ("Degree: (" + _deg_x + ", " + _deg_y + ")");
//size of rectange
foreach (Rectangle rc in _rects)
{
///for debug
//System.Diagnostics.Debug.WriteLine(
// string.Format("Circle size: ({0}, {1})", rc.Width, rc.Height));
iFeatureWidth = rc.Width;
double dis = FindDistance(iFeatureWidth);
_g.DrawString(dis.ToString("N2") + "cm", _font, _brush, _x, _y + 60);
}
}
#endregion
#region detecting Triangle
///
/// _corners: the corner of Triangle
///
if (_shapeChecker.IsTriangle(_edgePoint, out _corners))
{
//Drawing the reference point
_g.DrawEllipse(_PictureboxPen, (float)(pictureBox1.Size.Width),
(float)(pictureBox1.Size.Height),
(float)10, (float)10);
// Drawing setting for outline of detected object
Rectangle[] _rects = _blobCounter.GetObjectsRectangles();
Pen _pen = new Pen(Color.Green, ipenWidth);
string _shapeString = "" + _shapeChecker.CheckShapeType(_edgePoint);
int _x = (int)_center.X;
int _y = (int)_center.Y;
// Drawing setting for centroid of detected object
int _centroid_X = (int)_blobPoints[0].CenterOfGravity.X;
int _centroid_Y = (int)_blobPoints[0].CenterOfGravity.Y;
///
/// Drawing outline of detected object
///
_g.DrawString(_shapeString, _font, _brush, _x, _y);
_g.DrawPolygon(_pen, ToPointsArray(_corners));
//Drawing the centroid point of object
_g.DrawEllipse(_pen, (float)(_centroid_X), (float)(_centroid_Y), (float)10, (float)10);
//Degree calculation
int _deg_x = (int)_centroid_X - pictureBox1.Size.Width;
int _deg_y = pictureBox1.Size.Height - (int)_centroid_Y;
textBox1.Text = ("Degree: (" + _deg_x + ", " + _deg_y + ")");
//size of rectange
foreach (Rectangle rc in _rects)
{
///for debug
//System.Diagnostics.Debug.WriteLine(
// string.Format("Triangle Size: ({0}, {1})", rc.Width, rc.Height));
iFeatureWidth = rc.Width;
double dis = FindDistance(iFeatureWidth);
_g.DrawString(dis.ToString("N2") + "cm", _font, _brush, _x, _y + 60);
}
}
#endregion
}
return(_bitmapSourceImage);
}
private void videoSourcePlayer1_NewFrame(object sender, NewFrameEventArgs args)
{
Invert inv = new Invert();
inv.ApplyInPlace(args.Frame);
UnmanagedImage ui = UnmanagedImage.FromManagedImage(args.Frame);
pictureBox1.Image = args.Frame;
if (controller.Tracker.TrackingObject == null)
{
return;
}
if (controller.Tracker.TrackingObject.IsEmpty)
{
return;
}
var rect = controller.Tracker.TrackingObject.Rectangle;
Crop crop = new Crop(rect);
UnmanagedImage head = crop.Apply(ui);
var points = new List <IntPoint>()
{
new IntPoint(head.Width / 2, head.Height / 2)
};
var pps = head.Collect16bppPixelValues(points);
double mean = pps.Mean();
double cutoff = mean + 15;
Threshold t = new Threshold((int)cutoff);
var mask = t.Apply(ui);
LevelsLinear16bpp levels = new LevelsLinear16bpp();
levels.InGray = new IntRange((int)cutoff, 65535);
levels.OutGray = new IntRange(0, 65535);
levels.ApplyInPlace(ui);
var mask8bit = Accord.Imaging.Image.Convert16bppTo8bpp(mask.ToManagedImage());
BlobCounter bc = new BlobCounter();
bc.ObjectsOrder = ObjectsOrder.Area;
bc.ProcessImage(mask8bit);
var blobs = bc.GetObjectsInformation();
inv.ApplyInPlace(args.Frame);
Intersect intersect = new Intersect();
intersect.UnmanagedOverlayImage = mask;
mask = intersect.Apply(ui);
List <Rectangle> rects = new List <Rectangle>();
// Extract the uppermost largest blobs.
for (int i = 0; i < blobs.Length; i++)
{
double dx = (blobs[i].Rectangle.Top - controller.Tracker.TrackingObject.Center.Y);
double d = (dx * dx) / controller.Tracker.TrackingObject.Area;
if (d < 2 && blobs[i].Area > 1000)
{
rects.Add(blobs[i].Rectangle);
}
}
rects.Sort(compare);
if (rects.Count > 0)
{
captureHand(mask, rects[0], pbLeftArm, pbLeftHand);
}
if (rects.Count > 1)
{
captureHand(mask, rects[1], pbRightArm, pbRightHand);
}
RectanglesMarker marker = new RectanglesMarker(rects);
marker.MarkerColor = Color.White;
marker.ApplyInPlace(mask8bit);
args.Frame = mask.ToManagedImage();
}
public double[] detectionGlyph(bool CalculTailleTerrain)
{
bool Trouve = false;
double[] ratio = new double[2] {
0, 0
};
SimpleShapeChecker shapeChecker = new SimpleShapeChecker();
BlobCounter blobCounter = new BlobCounter();
blobCounter.MinHeight = 23;
blobCounter.MinWidth = 23;
blobCounter.FilterBlobs = true;
blobCounter.ObjectsOrder = ObjectsOrder.Size;
// 4 - find all stand alone blobs
blobCounter.ProcessImage(imgContour);
Blob[] blobs = blobCounter.GetObjectsInformation();
// 5 - check each blob
for (int i = 0, n = blobs.Length; i < n; i++)
{
List <IntPoint> edgePoints = blobCounter.GetBlobsEdgePoints(blobs[i]);
List <IntPoint> corners = null;
// Test de la forme selectionnée
if (shapeChecker.IsQuadrilateral(edgePoints, out corners))
{
// Détection des points de coutour
List <IntPoint> leftEdgePoints, rightEdgePoints, topEdgePoints, bottomEdgePoints;
Line Horizontale = Line.FromPoints(new IntPoint(0, 0), new IntPoint(10, 0));
blobCounter.GetBlobsLeftAndRightEdges(blobs[i], out leftEdgePoints, out rightEdgePoints);
blobCounter.GetBlobsTopAndBottomEdges(blobs[i], out topEdgePoints, out bottomEdgePoints);
// calculate average difference between pixel values from outside of the
// shape and from inside
float diff = CalculateAverageEdgesBrightnessDifference(leftEdgePoints, rightEdgePoints, imgNB);
// check average difference, which tells how much outside is lighter than
// inside on the average
if (diff > 20)
{
// Transformation de l'image reçu en un carré pour la reconnaissance
QuadrilateralTransformation quadrilateralTransformation = new QuadrilateralTransformation(corners, 60, 60);
UnmanagedImage glyphImage = quadrilateralTransformation.Apply(imgNB);
// Filtre de contraste
OtsuThreshold otsuThresholdFilter = new OtsuThreshold();
otsuThresholdFilter.ApplyInPlace(glyphImage);
imgContour = glyphImage;
// Reconnaissance du Glyph
Glyph Gl = new Glyph(glyphImage, GlyphSize);
Gl.ReconnaissanceGlyph(corners, imgNB);
// Si le Glyph est valide
if (Gl.getIdentifiant() > 0)
{
if (AutAffichage[0])
{
// Coloration des contours des zones détectées
UnImgReel.SetPixels(leftEdgePoints, Color.Red);
UnImgReel.SetPixels(rightEdgePoints, Color.Red);
UnImgReel.SetPixels(topEdgePoints, Color.Red);
UnImgReel.SetPixels(bottomEdgePoints, Color.Red);
}
// Détection du milieu
Line line = Line.FromPoints(corners[0], corners[2]);
Line line2 = Line.FromPoints(corners[1], corners[3]);
IntPoint intersection = (IntPoint)line.GetIntersectionWith(line2);
if (AutAffichage[1])
{
dessinePoint(intersection, UnImgReel, 4, Color.Yellow);
}
// Calcul de la rotation
Line ComparasionAngle = Line.FromPoints(corners[0], corners[1]);
Double rotation = (int)ComparasionAngle.GetAngleBetweenLines(Horizontale);
rotation += 90 * Gl.getNbRotation();
Gl.rotation = 360 - rotation;
rotation *= (Math.PI / 180.0);
// Calcul d'un point en bout de pince
float Taille = corners[0].DistanceTo(corners[1]);
float taille = (Taille / BibliotequeGlyph.Biblioteque[Gl.getPosition()].taille) * BibliotequeGlyph.Biblioteque[Gl.getPosition()].DistancePince;
int x = -(int)(System.Math.Sin(rotation) * taille);
int y = -(int)(System.Math.Cos(rotation) * taille);
x += (int)intersection.X;
y += (int)intersection.Y;
Gl.Position = new int[2] {
x, y
};
if (AutAffichage[2])
{
dessinePoint(new IntPoint(x, y), UnImgReel, 4, Color.Cyan);
}
imgContour = Gl.getImage();
addGlyph(Gl);
if (CalculTailleTerrain == true && Trouve == false)
{
Trouve = true;
int tailleglyph = BibliotequeGlyph.Biblioteque[Gl.getPosition()].taille;
// Pythagore pour detection taille
Rectangle a = blobs[i].Rectangle;
double angle = -Gl.rotation + 180;
List <IntPoint> coins = new List <IntPoint>();
coins.Add(new IntPoint(100, 100));
coins.Add(new IntPoint(100, 100 + tailleglyph));
coins.Add(new IntPoint(100 + tailleglyph, 100 + tailleglyph));
coins.Add(new IntPoint(100 + tailleglyph, 100));
IntPoint Centre = new IntPoint((coins[2].X + coins[0].X) / 2, (coins[2].Y + coins[0].Y) / 2);
int radius = (int)(0.5 * Math.Sqrt(coins[0].DistanceTo(coins[1]) * coins[0].DistanceTo(coins[1]) + coins[1].DistanceTo(coins[2]) * coins[1].DistanceTo(coins[2])));
double alpha = Math.Atan2(coins[0].DistanceTo(coins[1]), coins[1].DistanceTo(coins[2])) * (180 / Math.PI);
double ang = 0;
for (i = 0; i < 4; i++)
{
IntPoint tmp = coins[i];
switch (i)
{
case 0:
ang = alpha - 180 + angle;
break;
case 1:
ang = +angle - alpha;
break;
case 2:
ang = +angle + alpha;
break;
case 3:
ang = -alpha + 180 + angle;
break;
}
ang *= (Math.PI / 180);
tmp.X = (int)(Centre.X + radius * Math.Cos(ang));
tmp.Y = (int)(Centre.Y + radius * Math.Sin(ang));
coins[i] = tmp;
}
Rectangle r = new Rectangle(min(coins[0].X, coins[1].X, coins[2].X, coins[3].X), min(coins[0].Y, coins[1].Y, coins[2].Y, coins[3].Y),
max(coins[0].X, coins[1].X, coins[2].X, coins[3].X) - min(coins[0].X, coins[1].X, coins[2].X, coins[3].X),
max(coins[0].Y, coins[1].Y, coins[2].Y, coins[3].Y) - min(coins[0].Y, coins[1].Y, coins[2].Y, coins[3].Y));
ratio[0] = ((double)r.Width / (double)a.Width) * 1.48;
ratio[1] = ((double)r.Height / (double)a.Height) * 1.48;
}
}
}
}
}
if (Trouve == false || ratio[0] == 0 || ratio[0] == 1 || ratio[1] == 0 || ratio[1] == 1)
{
return(null);
}
ratio[0] *= 0.7;
ratio[1] *= 0.7;
return(ratio);
}
private void vspMain_NewFrame(object sender, ref Bitmap image)
{
cntFrame++;
if (cntFrame < 80)
{
return;
}
colorFiltering.Red = new Accord.IntRange(230, 245);
colorFiltering.Green = new Accord.IntRange(200, 220);
colorFiltering.Blue = new Accord.IntRange(150, 180);
var filteringFrame = colorFiltering.Apply(image);
var afterGray = grayscaleBT709.Apply(filteringFrame);
var thersholdedFrame = threshold.Apply(afterGray);
pbThreshold.Image = afterGray;
var dilatedFrame = dilation.Apply(thersholdedFrame);
ApplyMask applyMask = new ApplyMask(dilatedFrame);
var maskedFrame = applyMask.Apply(image);
var blobFrame = maskedFrame.Clone() as Bitmap;
pbMasked.Image = maskedFrame;
blobCounter.ProcessImage(blobFrame);
var info = blobCounter.GetObjectsInformation();
var rectangles = info.Where(w => w.Area >= 200).Select(s => s.Rectangle).ToList();
//var rectangles = blobCounter.GetObjectsRectangles();
if (rectangles.Count == 0)
{
missFrame++;
return;
}
var rectangle = rectangles[0];
lstHeight.Add(rectangle.Y);
if (lstHeight.Count >= 2)
{
lstHeight.Remove(0);
}
//if(cntFrame >=130)
// lastRect = rectangle;
//rectangle = rectangles.Where(w => Math.Abs(lastRect.X - w.X) < 20).FirstOrDefault();
if (rectangle == null)
{
return;
}
Graphics g = Graphics.FromImage(image);
rectangle.Width = 50;
rectangle.Height = 100;
//rectangle.Y = lstHeight.Sum(s => s) / lstHeight.Count;
g.DrawRectangle(new Pen(Color.Yellow, 3), rectangle);
var img = UnmanagedImage.FromManagedImage(blobFrame);
camshift.SearchWindow = rectangle;
camshift.ProcessFrame(img);
var trackRect = camshift.TrackingObject.Rectangle;
if (trackRect == null)
{
return;
}
trackRect.Inflate(30, 30);
g.DrawRectangle(new Pen(Color.Aqua, 3), trackRect);
}
public void FindContourTest2()
{
Bitmap bmp = Properties.Resources.hand2;
BlobCounter bc = new BlobCounter(bmp);
bc.ObjectsOrder = ObjectsOrder.Size;
Blob[] blobs = bc.GetObjectsInformation();
bc.ExtractBlobsImage(bmp, blobs[0], true);
List<IntPoint> expected = bc.GetBlobsEdgePoints(blobs[0]);
Bitmap blob = blobs[0].Image.ToManagedImage();
BorderFollowing bf = new BorderFollowing();
List<IntPoint> actual = bf.FindContour(blob);
foreach (IntPoint point in expected)
Assert.IsTrue(actual.Contains(point));
IntPoint prev = actual[0];
for (int i = 1; i < actual.Count; i++)
{
IntPoint curr = actual[i];
Assert.IsTrue(System.Math.Abs(prev.X - curr.X) <= 1 &&
System.Math.Abs(prev.Y - curr.Y) <= 1);
prev = curr;
}
IntPoint first = actual[0];
IntPoint last = actual[actual.Count - 1];
Assert.IsTrue(System.Math.Abs(first.X - last.X) <= 1 &&
System.Math.Abs(first.Y - last.Y) <= 1);
}
/// <summary>
/// Detects and recognizes cards from source image
/// </summary>
/// <param name="source">Source image to be scanned</param>
/// <returns>Recognized Cards</returns>
public CardCollection Recognize(Bitmap source, string filePath, int id,
int minSize, Rectangle suitRect, Rectangle rankRect
)
{
CardCollection collection = new CardCollection(); //Collection that will hold cards
Bitmap temp = source.Clone() as Bitmap; //Clone image to keep original image
FiltersSequence seq = new FiltersSequence();
seq.Add(Grayscale.CommonAlgorithms.BT709); //First add grayScaling filter
seq.Add(new OtsuThreshold()); //Then add binarization(thresholding) filter
temp = seq.Apply(source); // Apply filters on source image
//if (!string.IsNullOrEmpty(fileName))
//{
// temp.Save(fileName, ImageFormat.Bmp);
//}
//Extract blobs from image whose size width and height larger than 150
BlobCounter extractor = new BlobCounter();
extractor.FilterBlobs = true;
extractor.MinWidth = extractor.MinHeight = minSize;//TODO card size
//extractor.MaxWidth = extractor.MaxHeight = 70;//TODO card size
extractor.ProcessImage(temp);
//Will be used transform(extract) cards on source image
//QuadrilateralTransformation quadTransformer = new QuadrilateralTransformation();
foreach (Blob blob in extractor.GetObjectsInformation())
{
var cardImg = source.Clone(blob.Rectangle, PixelFormat.DontCare);
Card card = new Card(cardImg); //Create Card Object
Bitmap suitBmp = card.GetPart(suitRect);
char color = ScanColor(suitBmp); //Scan color
seq.Clear();
seq.Add(Grayscale.CommonAlgorithms.BT709);
seq.Add(new OtsuThreshold());
suitBmp = seq.Apply(suitBmp);
card.Suit = ScanSuit(suitBmp, color); //Scan suit of face card
Bitmap rankBmp = card.GetPart(rankRect);
seq.Clear();
seq.Add(Grayscale.CommonAlgorithms.BT709);
seq.Add(new OtsuThreshold());
rankBmp = seq.Apply(rankBmp);
//var ext = new BlobsFiltering(0, 0, 40, 40);
//ext.ApplyInPlace(rankBmp);
card.Rank = ScanRank(rankBmp); //Scan Rank of non-face card
//if (card.Rank == Rank.NOT_RECOGNIZED)
//{
// if (!string.IsNullOrEmpty(filePath))
// {
// while (File.Exists(filePath + id + ".bmp"))
// id++;
// top.Save(filePath + id + ".bmp", ImageFormat.Bmp);
// }
//}
if (card.Rank != Rank.NOT_RECOGNIZED && card.Suit != Suit.NOT_RECOGNIZED)
{
collection.Add(card); //Add card to collection
}
}
collection.SortByRank();
return(collection);
}
static void Main(string[] args)
{
Threshold thresh = new Threshold(10);
Median median = new Median(9);
Erosion3x3 erode = new Erosion3x3();
Dilatation3x3 dilate = new Dilatation3x3();
GrahamConvexHull hullFinder = new GrahamConvexHull();
ConnectedComponentsLabeling ccLabeler = new ConnectedComponentsLabeling();
BorderFollowing contourFinder = new BorderFollowing();
GrayscaleToRGB rgb = new GrayscaleToRGB();
ConvexHullDefects defectFinder = new ConvexHullDefects(10);
Bitmap img = (Bitmap)Bitmap.FromFile("hand3.jpg");
Bitmap image = Grayscale.CommonAlgorithms.BT709.Apply(img);
thresh.ApplyInPlace(image);
//median.ApplyInPlace(image);
erode.ApplyInPlace(image);
dilate.ApplyInPlace(image);
BlobCounter counter = new BlobCounter(image);
counter.ObjectsOrder = ObjectsOrder.Area;
Blob[] blobs = counter.GetObjectsInformation();
if (blobs.Length > 0)
{
counter.ExtractBlobsImage(image, blobs[0], true);
UnmanagedImage hand = blobs[0].Image;
var contour = contourFinder.FindContour(hand);
if (contour.Count() > 0)
{
var initialHull = hullFinder.FindHull(contour);
var defects = defectFinder.FindDefects(contour, initialHull);
var filteredHull = initialHull.ClusterHullPoints().FilterLinearHullPoints();
var palmCenter = defects.Centroid(contour);
var wristPoints = filteredHull.SelectWristPoints(defects, contour);
Bitmap color = rgb.Apply(hand).ToManagedImage();
//BitmapData data = color.LockBits(new Rectangle(0, 0, color.Width, color.Height), ImageLockMode.ReadWrite, color.PixelFormat);
//Drawing.Polyline(data, contour, Color.Blue);
//Drawing.Polygon(data, filteredHull, Color.Red);
//color.UnlockBits(data);
Graphics gr = Graphics.FromImage(color);
gr.DrawPolygon(new Pen(Brushes.Red, 3), filteredHull.ToPtArray());
gr.DrawLines(new Pen(Brushes.Blue, 3), contour.ToPtArray());
gr.DrawEllipse(new Pen(Brushes.Red, 3), palmCenter.X - 10, palmCenter.Y - 10, 20, 20);
foreach (ConvexityDefect defect in defects)
{
gr.DrawEllipse(new Pen(Brushes.Green, 6), contour[defect.Point].X - 10, contour[defect.Point].Y - 10, 20, 20);
}
foreach (AForge.IntPoint pt in filteredHull)
{
gr.DrawEllipse(new Pen(Brushes.Yellow, 6), pt.X - 10, pt.Y - 10, 20, 20);
}
foreach (AForge.IntPoint pt in wristPoints)
{
gr.DrawEllipse(new Pen(Brushes.PowderBlue, 6), pt.X - 10, pt.Y - 10, 20, 20);
}
ImageBox.Show(color);
}
}
}
public void nesnebul(Bitmap image)
{
BlobCounter blobCounter = new BlobCounter();
blobCounter.MinWidth = 5;
blobCounter.MinHeight = 5;
blobCounter.FilterBlobs = true;
blobCounter.ObjectsOrder = ObjectsOrder.Size;
BitmapData objectsData = image.LockBits(new Rectangle(0, 0, image.Width, image.Height), ImageLockMode.ReadOnly, image.PixelFormat);
Grayscale grayscaleFilter = new Grayscale(0.2125, 0.7154, 0.0721);
UnmanagedImage grayImage = grayscaleFilter.Apply(new UnmanagedImage(objectsData));
image.UnlockBits(objectsData);
blobCounter.ProcessImage(image);
Rectangle[] rects = blobCounter.GetObjectsRectangles();
Blob[] blobs = blobCounter.GetObjectsInformation();
pictureBox2.Image = image;
foreach (Rectangle recs in rects)
{
if (rects.Length > 0)
{
Rectangle objectRect = rects[0];
//Graphics g = Graphics.FromImage(image);
Graphics g = pictureBox1.CreateGraphics();
using (Pen pen = new Pen(Color.FromArgb(252, 3, 26), 2))
{
g.DrawRectangle(pen, objectRect);
}
//Cizdirilen Dikdörtgenin Koordinatlari aliniyor.
int objectX = objectRect.X + (objectRect.Width / 2);
int objectY = objectRect.Y + (objectRect.Height / 2);
// g.DrawString(objectX.ToString() + "X" + objectY.ToString(), new Font("Arial", 12), Brushes.Red, new System.Drawing.Point(250, 1));
g.Dispose();
if (objectX < 108 && objectY < 90)
{
ardino.Write("1");
}
else if ((objectX > 108 && objectX < 212) && (objectY < 90))
{
ardino.Write("2");
}
else if ((objectX > 212 && objectX < 360) && (objectY < 90))
{
ardino.Write("3");
}
else if ((objectX < 108) && (objectY > 90 && objectY < 185))
{
ardino.Write("4");
}
else if ((objectX > 108 && objectX < 212) && (objectY > 90 && objectY < 185))
{
ardino.Write("5");
}
else if ((objectX > 212 && objectX < 360) && (objectY > 90 && objectY < 185))
{
ardino.Write("6");
}
else if ((objectX < 108) && (objectY > 185 && objectY < 275))
{
ardino.Write("7");
}
else if ((objectX > 108 && objectX < 212) && (objectY > 185 && objectY < 275))
{
ardino.Write("8");
}
else if ((objectX > 212 && objectX < 360) && (objectY > 185 && objectY < 275))
{
ardino.Write("9");
}
}
}
}
/// <summary>
/// Process the filter on the specified image.
/// </summary>
///
/// <param name="image">Source image data.</param>
///
protected override unsafe void ProcessFilter( UnmanagedImage image )
{
int width = image.Width;
int height = image.Height;
// 1 - invert the source image
Invert invertFilter = new Invert( );
UnmanagedImage invertedImage = invertFilter.Apply( image );
// 2 - use blob counter to find holes (they are white objects now on the inverted image)
BlobCounter blobCounter = new BlobCounter( );
blobCounter.ProcessImage( invertedImage );
Blob[] blobs = blobCounter.GetObjectsInformation( );
// 3 - check all blobs and determine which should be filtered
byte[] newObjectColors = new byte[blobs.Length + 1];
newObjectColors[0] = 255; // don't touch the objects, which have 0 ID
for ( int i = 0, n = blobs.Length; i < n; i++ )
{
Blob blob = blobs[i];
if ( ( blob.Rectangle.Left == 0 ) || ( blob.Rectangle.Top == 0 ) ||
( blob.Rectangle.Right == width ) || ( blob.Rectangle.Bottom == height ) )
{
newObjectColors[blob.ID] = 0;
}
else
{
if ( ( ( coupledSizeFiltering ) && ( blob.Rectangle.Width <= maxHoleWidth ) && ( blob.Rectangle.Height <= maxHoleHeight ) ) |
( ( !coupledSizeFiltering ) && ( ( blob.Rectangle.Width <= maxHoleWidth ) || ( blob.Rectangle.Height <= maxHoleHeight ) ) ) )
{
newObjectColors[blob.ID] = 255;
}
else
{
newObjectColors[blob.ID] = 0;
}
}
}
// 4 - process the source image image and fill holes
byte* ptr = (byte*) image.ImageData.ToPointer( );
int offset = image.Stride - width;
int[] objectLabels = blobCounter.ObjectLabels;
for ( int y = 0, i = 0; y < height; y++ )
{
for ( int x = 0; x < width; x++, i++, ptr++ )
{
*ptr = newObjectColors[objectLabels[i]];
}
ptr += offset;
}
}
/* Metoda, která dostane na vstup název obrazku na kterém má najít modrou misku a vrátí souøadnici levého horního rohu, šíøku a výšku. */
public static int[] DetekujModryOkrajObrazku(string obrazek)
{
/* Obrázek naètu dvakrát - na prvním provádím úpravy a druhý pak oøežu a uložím. */
Bitmap image = (Bitmap)Bitmap.FromFile(obrazek);
Bitmap puvodniImage = (Bitmap)Bitmap.FromFile(obrazek);
/* Definice pomocných promìnných: */
int[] souradniceRozmeryOrezu = new int[4];
int levyHorniX = 0;
int levyHorniY = 0;
/* Definice rozostøovacího filtru */
GaussianBlur filterBlur = new GaussianBlur(4, 11);
/* Definice modrého filtru */
ColorFiltering filterBlue = new ColorFiltering();
filterBlue.Red = new IntRange(18, 35);
filterBlue.Green = new IntRange(23, 40);
filterBlue.Blue = new IntRange(40, 85);
/* Definice hnìdého filtru */
ColorFiltering filterBrown = new ColorFiltering();
filterBrown.Red = new IntRange(35, 45);
filterBrown.Green = new IntRange(32, 42);
filterBrown.Blue = new IntRange(30, 40);
/* Aplikace modrého filtru - vytáhne mi z pùvodního obrázku modrou barvu. */
filterBlue.ApplyInPlace(image);
/* Na vytáhnutou modrou vrstvu aplikuji rozostøení abych v nìm mohl vyhledat obdélník. */
filterBlur.ApplyInPlace(image);
/* Definice vyhledáváèe obdelníkù. */
BlobCounter bc = new BlobCounter();
bc.FilterBlobs = true;
bc.MinHeight = 500;
bc.MinWidth = 500;
/* Aplikce vyhledávaèe obdelníkù. */
bc.ProcessImage(image);
Blob[] blobs = bc.GetObjectsInformation();
SimpleShapeChecker shapeChecker = new SimpleShapeChecker();
foreach (var blob in blobs)
{
List <IntPoint> edgePoints = bc.GetBlobsEdgePoints(blob);
List <IntPoint> cornerPoints;
/* kontrola jestli nalezený obdelník je ctyruhelnik a do pomocné promìnné doplnìní jeho rohových bodù. */
if (shapeChecker.IsQuadrilateral(edgePoints, out cornerPoints))
{
/* Kontrola jestli nalezený obdelník je fakt obdelník. */
if (shapeChecker.CheckPolygonSubType(cornerPoints) == PolygonSubType.Rectangle)
{
/* procházím nalezené souøadnice a vytvoøím si z nich kolekci bodù, podle kterých pak oøežu modrý obdelník. */
List <System.Drawing.Point> Points = new List <System.Drawing.Point>();
foreach (var point in cornerPoints)
{
Points.Add(new System.Drawing.Point(point.X, point.Y));
}
/* Tady zpracuju rohove body a vypocitam si vzdalenosti */
int sirkaModrehoObdelnika = (Points[2].X - Points[0].X);
int vyskaModrehoObdelnika = (Points[3].Y - Points[1].Y);
levyHorniX = Points[0].X;
levyHorniY = Points[1].Y;
/* Oøežu pùvodní obrázek podle získaných rozmìrù modrého okraje. */
puvodniImage = puvodniImage.Clone(new Rectangle(levyHorniX, levyHorniY, sirkaModrehoObdelnika, vyskaModrehoObdelnika), puvodniImage.PixelFormat);
/* Upravovaný obrázek nahradím oøezem pùvodního - chystám se na nìm hledat ještì šedou misku, kterou to oøežu ještì lépe. */
image = puvodniImage.Clone(new Rectangle(0, 0, puvodniImage.Width, puvodniImage.Height), puvodniImage.PixelFormat);
}
}
}
/* Teï jsem ve fázi kdy v promìnné image mame oøezaný obrázek v pùvodním tvaru.
* Aplikuji hnedý filtr a jedu to co s modrou, */
filterBrown.ApplyInPlace(image);
filterBlur.ApplyInPlace(image);
bc.FilterBlobs = true;
bc.MinHeight = 500;
bc.MinWidth = 500;
bc.ProcessImage(image);
blobs = bc.GetObjectsInformation();
shapeChecker = new SimpleShapeChecker();
foreach (var blob in blobs)
{
List <IntPoint> edgePoints = bc.GetBlobsEdgePoints(blob);
List <IntPoint> cornerPoints;
if (shapeChecker.IsQuadrilateral(edgePoints, out cornerPoints))
{
if (shapeChecker.CheckPolygonSubType(cornerPoints) == PolygonSubType.Rectangle)
{
List <System.Drawing.Point> Points = new List <System.Drawing.Point>();
foreach (var point in cornerPoints)
{
Points.Add(new System.Drawing.Point(point.X, point.Y));
}
/* Tady zpracuju rohový bod a vypoèítám rozmìry. */
souradniceRozmeryOrezu[0] = Points[0].X + levyHorniX;
souradniceRozmeryOrezu[1] = Points[1].Y + levyHorniY;
souradniceRozmeryOrezu[2] = Points[2].X - Points[0].X;
souradniceRozmeryOrezu[3] = Points[3].Y - Points[1].Y;
}
}
}
/* Vrátím získané hodnoty
* 1. pozice - levé horní souøadnice X.
* 2. pozice - levá horní souøadnice Y.
* 3. pozice - šíøka oøezu.
* 4. pozice - výška oøezu.
*/
return(souradniceRozmeryOrezu);
}