/// <summary>
/// Get rectangle contain object in current frame
/// </summary>
/// <param name="templateInfo">Tracking template information</param>
/// <param name="source">Frame</param>
/// <returns>Rectangle contain object</returns>
public static Rectangle TemplateColorTracking(ImageStatistics templateInfo, ref UnmanagedImage source)
{
UnmanagedImage image = source.Clone();
// create filter
EuclideanColorFiltering filter = new EuclideanColorFiltering();
// set center colol and radius
filter.CenterColor = new RGB(
(byte)templateInfo.Red.Mean,
(byte)templateInfo.Green.Mean,
(byte)templateInfo.Blue.Mean);
filter.Radius = 30;
// apply the filter
filter.ApplyInPlace(image);
image = Grayscale.CommonAlgorithms.BT709.Apply(image);
OtsuThreshold threshold = new OtsuThreshold();
threshold.ApplyInPlace(image);
BlobCounter blobCounter = new BlobCounter();
blobCounter.ObjectsOrder = ObjectsOrder.Size;
blobCounter.ProcessImage(image);
Rectangle rect = blobCounter.ObjectsCount > 0 ? blobCounter.GetObjectsRectangles()[0] : Rectangle.Empty;
return rect;
}
public static void blob_setter(Bitmap video , Bitmap grayImage , int height , int width)
{
BlobCounter blobCounter = new BlobCounter();
// configure it to filter out small objects
blobCounter.MinWidth = width;
blobCounter.MinHeight = height;
// blobCounter.FilterBlobs = true;
// set ordering - bigger objects go first
blobCounter.ObjectsOrder = ObjectsOrder.Size;
// locate blobs
blobCounter.ProcessImage(grayImage);
Rectangle[] rects = blobCounter.GetObjectsRectangles();
foreach (Rectangle recs in rects)
if (rects.Length > 0)
{
Rectangle objectRect = rects[0];
Graphics g = Graphics.FromImage(video);
using (Pen pen = new Pen(Color.FromArgb(160, 255, 160), 3))
{
g.DrawRectangle(pen, objectRect);
}
g.Dispose();
}
}
void FinalVideo_NewFrame(object sender, NewFrameEventArgs eventArgs)
{
Icon newIcon = new Icon(@"c:\users\gregster\documents\visual studio 2012\Projects\WebCamTrack\WebCamTrack\bin\Debug\favicon.ico");
BlobCounter bc = new BlobCounter();
EuclideanColorFiltering filter = new EuclideanColorFiltering();
Bitmap video = (Bitmap)eventArgs.Frame.Clone();//sem filtro
Bitmap video1 = (Bitmap)eventArgs.Frame.Clone();// imagem com filtro
//
filter.CenterColor = new RGB(0, 0, 0);
filter.Radius = 100;
filter.ApplyInPlace(video1);//aplicando o filtro
bc.MinWidth = 5;
bc.MinHeight = 5;
bc.FilterBlobs = true;
// bc.ObjectsOrder = ObjectsOrder.Size;
bc.ProcessImage(video1);// processando a imagem que ja foi filtrada para identificar objetos
Rectangle[] rects = bc.GetObjectsRectangles();
foreach (Rectangle recs in rects)
if (rects.Length > 0)
{
Rectangle objectRect = rects[0];
Graphics g = Graphics.FromImage(video);//identificar objetos a partir da imagem com filtro
Graphics h = Graphics.FromImage(video1);
using (Pen pen = new Pen(Color.FromArgb(160, 255, 160), 5))
{
g.DrawIcon(newIcon, objectRect);
// g.DrawRectangle(pen, objectRect);
h.DrawRectangle(pen, objectRect);
}
g.Dispose();
h.Dispose();
}
pictureBox1.Image = video;
pictureBox2.Image = video1;
}
public static AForge.Point GetRedBlobCenter(Bitmap image)
{
BlobCounter bCounter = new BlobCounter();
bCounter.ProcessImage(image);
Blob[] blobs = bCounter.GetObjectsInformation();
Rectangle[] rects = bCounter.GetObjectsRectangles();
Pen pen = new Pen(Color.Red, 2);
Brush brush = new SolidBrush(Color.Red);
Graphics g = Graphics.FromImage(image);
if (rects.Length > 0) { g.FillRectangle(brush, rects[0]); }
if (blobs.Length > 0)
{
detected = true;
lastPos = blobs[0].CenterOfGravity;
AForge.Point rPos = new AForge.Point();
rPos.Y = ((lastPos.Y / 5) / 100) * 768;
rPos.X = ((lastPos.X / 5) / 100) * 1366;
return rPos;
}
else
{
detected = false;
if (lastPos != null)
{
return lastPos;
}
else
{
return new AForge.Point(50.0f, 50.0f);
}
}
}
private void btnMassAnalysis_Click(object sender, RoutedEventArgs e)
{
Stopwatch stopwatch = new Stopwatch();
stopwatch.Start();
for (int index = 0; index < 6; index++)
{
string folderSettingText = "";
switch (index)
{
case 0:
folderSettingText = "Batch 1\\All Top";
break;
case 1:
folderSettingText = "Batch 2\\All Top";
break;
case 2:
folderSettingText = "Batch 3\\All Top";
break;
case 3:
folderSettingText = "Batch 1\\All Bottom";
break;
case 4:
folderSettingText = "Batch 2\\All Bottom";
break;
case 5:
folderSettingText = "Batch 3\\All Bottom";
break;
default:
folderSettingText = "";
break;
}
string[] filename = { "" };
//string path = @"E:\Brian\Project 3 - English Muffin Onsite Data Gathering\SK Foods On-Site Scan\English Muffin\Batch 3\All Bottom";
string path = "C:\\Users\\kai23\\Projects\\ABI\\EnglishMuffinVision_AForge\\Images\\English Muffin\\" + folderSettingText;
string searchPattern = "æKatanaScoring_CameraImageGray1*";
try
{
filename = Directory.GetFiles(path, searchPattern, SearchOption.AllDirectories);
}
catch (UnauthorizedAccessException)
{
}
foreach (string f in filename)
{
if (f != null)
{
GrayScaleImage = AForge.Imaging.Image.FromFile(f);
int startPos = f.LastIndexOf("SK Foods On-Site Scan") + "SK Foods On-Site Scan".Length + 1;
int length = f.IndexOf("æ") - startPos - 1;
string sub = f.Substring(startPos, length);
lblFolder.Content = sub;
//AForge.Imaging.UnmanagedImage unmanagedImage1 = AForge.Imaging.UnmanagedImage.FromManagedImage(GrayScaleImage);
//Bitmap managedImage = unmanagedImage1.ToManagedImage();
//BitmapImage GrayImage_temp = ToBitmapImage(managedImage);
//imgGray.Source = GrayImage_temp;
//Stopwatch stopwatch = new Stopwatch();
//stopwatch.Start();
AForge.Imaging.UnmanagedImage unmanagedImage1 = AForge.Imaging.UnmanagedImage.FromManagedImage(GrayScaleImage);
AForge.Imaging.BlobCounter bc = new AForge.Imaging.BlobCounter
{
CoupledSizeFiltering = true,
FilterBlobs = true,
MinHeight = 30,
MinWidth = 30,
MaxHeight = 100,
MaxWidth = 100
};
bc.ProcessImage(GrayScaleImage);
lblBlobCount.Content = bc.ObjectsCount;
Bitmap indexMap = AForge.Imaging.Image.Clone(GrayScaleImage);
for (int x = 0; x < indexMap.Width; x++)
{
for (int y = 0; y < indexMap.Height; y++)
{
indexMap.SetPixel(x, y, System.Drawing.Color.Black);
}
}
System.Drawing.Rectangle[] rects = bc.GetObjectsRectangles();
// process blobs
BreadBlob[] breadBlob1 = new BreadBlob[bc.ObjectsCount];
int blobArrayIndex = 0;
int blobPt = Convert.ToInt16(txbBlobNum.Text);
int blobThreshold = Convert.ToInt16(txbBlobThreshold.Text);
if (blobPt >= bc.ObjectsCount)
{
blobPt = bc.ObjectsCount - 1;
}
StaticsCalculator MuffinStatistics = new StaticsCalculator();
Graphics g = Graphics.FromImage(indexMap);
foreach (System.Drawing.Rectangle rect in rects)
{
//initialize Object
breadBlob1[blobArrayIndex] = new BreadBlob();
breadBlob1[blobArrayIndex].TopDownThreshold = blobThreshold;
byte[,] blobArray = new byte[rect.Width, rect.Height];
for (int x = rect.Left; x < rect.Right; x++)
{
for (int y = rect.Top; y < rect.Bottom; y++)
{
System.Drawing.Color tempPixelColor = GrayScaleImage.GetPixel(x, y);
blobArray[x - rect.Left, y - rect.Top] = tempPixelColor.G;
}
}
breadBlob1[blobArrayIndex].PixelArray = blobArray;
breadBlob1[blobArrayIndex].X = rect.X;
breadBlob1[blobArrayIndex].Y = rect.Y;
MuffinStatistics.Add(breadBlob1[blobArrayIndex].Variance.QAverage);
if (blobArrayIndex == blobPt)
{
System.Drawing.Rectangle tempRect = rect;
tempRect.X -= 1;
tempRect.Y -= 1;
tempRect.Width += 2;
tempRect.Height += 2;
AForge.Imaging.Drawing.Rectangle(unmanagedImage1, tempRect, System.Drawing.Color.Yellow);
}
if (breadBlob1[blobArrayIndex].IsTop())
{
AForge.Imaging.Drawing.Rectangle(unmanagedImage1, rect, System.Drawing.Color.Green);
}
else
{
AForge.Imaging.Drawing.Rectangle(unmanagedImage1, rect, System.Drawing.Color.Red);
}
RectangleF rectf = new RectangleF(rect.X, rect.Y, rect.Width, rect.Height);
g.SmoothingMode = SmoothingMode.AntiAlias;
g.InterpolationMode = InterpolationMode.HighQualityBicubic;
g.PixelOffsetMode = PixelOffsetMode.HighQuality;
g.DrawString(Convert.ToString(blobArrayIndex), new Font("Arial", 5), System.Drawing.Brushes.White, rectf);
lblBlobHeight.Content = rect.Height;
lblBlobWidth.Content = rect.Width;
blobArrayIndex++;
}
BitmapImage indexMap_temp = ToBitmapImage(indexMap);
g.Flush();
// conver to managed image if it is required to display it at some point of time
Bitmap managedImage = unmanagedImage1.ToManagedImage();
// create filter
Add filter = new Add(indexMap);
// apply the filter
Bitmap resultImage = filter.Apply(managedImage);
BitmapImage GrayImage_temp = ToBitmapImage(resultImage);
imgGray.Source = GrayImage_temp;
lblLib.Content = "AForge";
lblVariance.Content = breadBlob1[blobPt].GetVariance(BreadBlob.VarianceType.All);
lblX.Content = breadBlob1[blobPt].X;
lblY.Content = breadBlob1[blobPt].Y;
lblQ1Variance.Content = breadBlob1[blobPt].GetVariance(BreadBlob.VarianceType.Q1);
lblQ2Variance.Content = breadBlob1[blobPt].GetVariance(BreadBlob.VarianceType.Q2);
lblQ3Variance.Content = breadBlob1[blobPt].GetVariance(BreadBlob.VarianceType.Q3);
lblQ4Variance.Content = breadBlob1[blobPt].GetVariance(BreadBlob.VarianceType.Q4);
lblQAverage.Content = breadBlob1[blobPt].GetVariance(BreadBlob.VarianceType.QAverage);
lblAllMuffinStat.Content = MuffinStatistics.StandardDeviation;
// System.IO.File.WriteAllLines(@"C:\Users\Public\TestFolder\Histogram.txt", GrayImage1Histogram_str);
// E:\Brian\Project 3 - English Muffin Onsite Data Gathering\Data Analysis
//System.IO.File.WriteAllLines(@"E:\Brian\Project 3 - English Muffin Onsite Data Gathering\Data Analysis\Histogram.txt", GrayImage1Histogram_str);
bool fileExist = File.Exists("C:\\Users\\kai23\\Projects\\ABI\\EnglishMuffinVision_AForge\\Data Analysis\\Data.csv");
using (System.IO.StreamWriter file = new System.IO.StreamWriter(@"C:\Users\kai23\Projects\ABI\EnglishMuffinVision_AForge\Data Analysis\Data.csv", true))
{
if (!fileExist)
{
file.WriteLine("File Info," +
"Variance All," +
"Vari Q1:," +
"Vari Q2:," +
"Vari Q3:," +
"Vari Q4:," +
"Variance Average:," +
"S1," +
"S2," +
"S3," +
"S4," +
"S5," +
"S6," +
"S7," +
"S8," +
"S9," +
"Savg," +
"L1," +
"L2," +
"L3," +
"L4," +
"L5," +
"L6," +
"L7," +
"L8," +
"L9," +
"L10," +
"L11," +
"L12," +
"L13," +
"L14," +
"L15," +
"L16," +
"Lavg");
}
file.WriteLine(Convert.ToString(lblFolder.Content) + "," +
Convert.ToString(breadBlob1[blobPt].GetVariance(BreadBlob.VarianceType.All)) + "," +
Convert.ToString(breadBlob1[blobPt].GetVariance(BreadBlob.VarianceType.Q1)) + "," +
Convert.ToString(breadBlob1[blobPt].GetVariance(BreadBlob.VarianceType.Q2)) + "," +
Convert.ToString(breadBlob1[blobPt].GetVariance(BreadBlob.VarianceType.Q3)) + "," +
Convert.ToString(breadBlob1[blobPt].GetVariance(BreadBlob.VarianceType.Q4)) + "," +
Convert.ToString(breadBlob1[blobPt].GetVariance(BreadBlob.VarianceType.QAverage)) + "," +
Convert.ToString(breadBlob1[blobPt].GetVariance(BreadBlob.VarianceType.S1)) + "," +
Convert.ToString(breadBlob1[blobPt].GetVariance(BreadBlob.VarianceType.S2)) + "," +
Convert.ToString(breadBlob1[blobPt].GetVariance(BreadBlob.VarianceType.S3)) + "," +
Convert.ToString(breadBlob1[blobPt].GetVariance(BreadBlob.VarianceType.S4)) + "," +
Convert.ToString(breadBlob1[blobPt].GetVariance(BreadBlob.VarianceType.S5)) + "," +
Convert.ToString(breadBlob1[blobPt].GetVariance(BreadBlob.VarianceType.S6)) + "," +
Convert.ToString(breadBlob1[blobPt].GetVariance(BreadBlob.VarianceType.S7)) + "," +
Convert.ToString(breadBlob1[blobPt].GetVariance(BreadBlob.VarianceType.S8)) + "," +
Convert.ToString(breadBlob1[blobPt].GetVariance(BreadBlob.VarianceType.S9)) + "," +
Convert.ToString(breadBlob1[blobPt].GetVariance(BreadBlob.VarianceType.Savg)) + "," +
Convert.ToString(breadBlob1[blobPt].GetVariance(BreadBlob.VarianceType.L1)) + "," +
Convert.ToString(breadBlob1[blobPt].GetVariance(BreadBlob.VarianceType.L2)) + "," +
Convert.ToString(breadBlob1[blobPt].GetVariance(BreadBlob.VarianceType.L3)) + "," +
Convert.ToString(breadBlob1[blobPt].GetVariance(BreadBlob.VarianceType.L4)) + "," +
Convert.ToString(breadBlob1[blobPt].GetVariance(BreadBlob.VarianceType.L5)) + "," +
Convert.ToString(breadBlob1[blobPt].GetVariance(BreadBlob.VarianceType.L6)) + "," +
Convert.ToString(breadBlob1[blobPt].GetVariance(BreadBlob.VarianceType.L7)) + "," +
Convert.ToString(breadBlob1[blobPt].GetVariance(BreadBlob.VarianceType.L8)) + "," +
Convert.ToString(breadBlob1[blobPt].GetVariance(BreadBlob.VarianceType.L9)) + "," +
Convert.ToString(breadBlob1[blobPt].GetVariance(BreadBlob.VarianceType.L10)) + "," +
Convert.ToString(breadBlob1[blobPt].GetVariance(BreadBlob.VarianceType.L11)) + "," +
Convert.ToString(breadBlob1[blobPt].GetVariance(BreadBlob.VarianceType.L12)) + "," +
Convert.ToString(breadBlob1[blobPt].GetVariance(BreadBlob.VarianceType.L13)) + "," +
Convert.ToString(breadBlob1[blobPt].GetVariance(BreadBlob.VarianceType.L14)) + "," +
Convert.ToString(breadBlob1[blobPt].GetVariance(BreadBlob.VarianceType.L15)) + "," +
Convert.ToString(breadBlob1[blobPt].GetVariance(BreadBlob.VarianceType.L16)) + "," +
Convert.ToString(breadBlob1[blobPt].GetVariance(BreadBlob.VarianceType.Lavg)));
}
//lblFolder.Content = "";
}
}
}
stopwatch.Stop();
lblTime.Content = stopwatch.ElapsedMilliseconds;
}
private List<Rectangle> RgrectBobberCandidate(Bitmap imgBefore, Bitmap imgAfter)
{
var img = XXX(imgBefore, imgAfter);
var blobCounter = new BlobCounter();
blobCounter.ProcessImage(img);
return blobCounter.GetObjectsRectangles().ToList();
}
private void ProcessImage()
{
m_selectedBlobs.Clear();
pictureBox1.Controls.Clear();
pictureBox1.Image = null;
if (m_original != null)
m_original.Dispose();
if (m_binarized != null)
m_binarized.Dispose();
m_original = new Bitmap(txtFile.Text);
// create grayscale filter (BT709)
Grayscale filter = new Grayscale(0.2125, 0.7154, 0.0721);
m_binarized = filter.Apply(m_original);
// Binarize Picture.
Threshold bin = new Threshold((int)txtBinThershold.Value);
bin.ApplyInPlace(m_binarized);
// create filter
Invert inv = new Invert();
inv.ApplyInPlace(m_binarized);
// create an instance of blob counter algorithm
BlobCounter bc = new BlobCounter();
bc.ObjectsOrder = ObjectsOrder.XY;
bc.ProcessImage(m_binarized);
Rectangle[] blobsRect = bc.GetObjectsRectangles();
Dictionary<int, List<Rectangle>> orderedBlobs = ReorderBlobs(blobsRect);
foreach (KeyValuePair<int, List<Rectangle>> orderedBlob in orderedBlobs)
{
orderedBlob.Value.ForEach(r => AddBlobPanel(orderedBlob.Key, r));
}
pictureBox1.Image = chkShowBinarize.Checked ? m_binarized : m_original;
pictureBox1.Invalidate();
}
public List<video.VideoProg.Cub> getImageColor(List<HSLFiltering> lst)
{
UnmanagedImage tmpCol = null;
List<video.VideoProg.Cub> tmp = new List<video.VideoProg.Cub>();
for(int i = 0; i < lst.Count;i++)
{
HSLFiltering Filter = lst[i];
tmpCol = ImgColor.Clone();
Filter.ApplyInPlace(tmpCol);
// create blob counter and configure it
BlobCounter blobCounter1 = new BlobCounter();
blobCounter1.MinWidth = 15; // set minimum size of
blobCounter1.MinHeight = 15; // objects we look for
blobCounter1.FilterBlobs = true; // filter blobs by size
blobCounter1.ObjectsOrder = ObjectsOrder.Size; // order found object by size
blobCounter1.ProcessImage(tmpCol);
//Rectangle[] rects = DeleteRectInterne( blobCounter1.GetObjectsRectangles());
Rectangle[] rects = blobCounter1.GetObjectsRectangles();
// draw rectangle around the biggest blob
for (int j = 0; j < rects.Length; j++)
{
if (rects[j] == null)
break;
tmp.Add(new video.VideoProg.Cub(rects[j],i));
}
}
ImgColor = tmpCol;
return tmp;
}
void VideoSourcePlayerNewFrame(object sender, ref Bitmap image)
{
lock (this)
{
Bitmap img_copy = new Bitmap(image);
Grayscale gray_filter = new Grayscale(0.2125, 0.7154, 0.0721);
img_copy = gray_filter.Apply(img_copy);
Threshold thresh = new Threshold(thresh_val);
img_copy = thresh.Apply(img_copy);
BlobCounter bc = new BlobCounter();
bc.FilterBlobs = true;
bc.MinHeight = min_size_val;
bc.MinWidth = min_size_val;
bc.MaxHeight = min_size_val + 50;
bc.MaxWidth = min_size_val + 50;
bc.ProcessImage(img_copy);
Rectangle[] rects = bc.GetObjectsRectangles();
Graphics g = videoSourcePlayer.CreateGraphics();
using (Pen p = new Pen(Color.Red))
{
foreach (Rectangle r in rects)
{
g.DrawRectangle(p,r);
g.DrawString("a",new Font("Consolas",10),Brushes.Red,r.X,r.Y);
}
}
image = img_copy;
}
}
private void traitementimage(ref Bitmap image)
{
ColorFiltering filter = new ColorFiltering();
filter.Red = new IntRange(254, 255);
filter.Green = new IntRange(0, 240);
filter.Blue = new IntRange(0, 240);
Bitmap tmp = filter.Apply(image);
IFilter grayscale = new GrayscaleBT709();
tmp = grayscale.Apply(tmp);
BitmapData bitmapData = tmp.LockBits(new Rectangle(0, 0, image.Width, image.Height),
ImageLockMode.ReadWrite, PixelFormat.Format8bppIndexed);
BlobCounter blobCounter = new BlobCounter();
blobCounter.ProcessImage(bitmapData);
blobCounter.ObjectsOrder = ObjectsOrder.Size;
Rectangle[] rects = blobCounter.GetObjectsRectangles();
tmp.UnlockBits(bitmapData);
tmp.Dispose();
if (rects.Length != 0)
{
backpoint = Centre(rects[0]);
lignes(ref image, backpoint);
}
}
void Cam_NewFrame(object sender, NewFrameEventArgs eventArgs)
{
//put screen into memory
System.Drawing.Image imgforms = (Bitmap)eventArgs.Frame.Clone();
var ms = new MemoryStream();
imgforms.Save(ms, ImageFormat.Bmp);
ms.Seek(0, SeekOrigin.Begin);
//new bitmap
var bip = new Bitmap(ms);
//filter
var filter = new ColorFiltering();
switch (_filterSwitchState)
{
case "filter1" :
filter.Red = new IntRange(0, 255);
filter.Green = new IntRange(0, 100);
filter.Blue = new IntRange(0, 100);
break;
case "filter2":
filter.Red = new IntRange(0, 50);
filter.Green = new IntRange(0, 50);
filter.Blue = new IntRange(0, 50);
break;
case "filter3":
filter.Red = new IntRange(175, 255);
filter.Green = new IntRange(130, 250);
filter.Blue = new IntRange(100, 200);
break;
case "none":
filter.Red = new IntRange(0, 255);
filter.Green = new IntRange(0, 255);
filter.Blue = new IntRange(0, 255);
break;
}
filter.ApplyInPlace(bip);
var ms2 = new MemoryStream();
bip.Save(ms2, ImageFormat.Bmp);
//blobs
BlobCounterBase bc = new BlobCounter();
bc.FilterBlobs = true;
bc.MinWidth = 10;
bc.MaxHeight = 400;
bc.MaxWidth = 400;
bc.MinHeight = 10;
bc.ObjectsOrder = ObjectsOrder.Size;
bc.ProcessImage(bip);
Rectangle[] rects = bc.GetObjectsRectangles();
var ms3 = new MemoryStream();
if (_drawBlobState)
{
using (var bitmap = new Bitmap(640, 480))
{
using (var canvas = Graphics.FromImage(bitmap))
{
canvas.InterpolationMode = InterpolationMode.HighQualityBicubic;
canvas.DrawImage(bip, new Rectangle(0, 0, 640, 480), new Rectangle(0, 0, 640, 480), GraphicsUnit.Pixel);
int i = 0;
foreach (Rectangle rect in rects)
{
if (_refineBlobState)
{
if (i < 4)
{
using (var pen = new System.Drawing.Pen(System.Drawing.Color.FromArgb(255, 255, 0), 2))
{
canvas.DrawRectangle(pen, rect);
}
}
}
else
{
using (var pen = new System.Drawing.Pen(System.Drawing.Color.FromArgb(255, 255, 0), 2))
{
canvas.DrawRectangle(pen, rect);
}
}
i++;
}
ms3.Seek(0, SeekOrigin.Begin);
bitmap.Save(ms3, ImageFormat.Bmp);
}
}
}
//read mem into bitmap for feed
var bi = new BitmapImage();
bi.BeginInit();
ms2.Seek(0, SeekOrigin.Begin);
if (_drawBlobState)
{
bi.StreamSource = ms3;
}
else
{
bi.StreamSource = ms2;
}
bi.EndInit();
bi.Freeze();
Dispatcher.BeginInvoke(new ThreadStart(delegate
{
Viewer1.Source = bi;
BlobCount.Text = rects.Length.ToString();
Frame.Text = DateTime.Now.Ticks.ToString();
UpdateStatus("Pushed Frame at " + DateTime.Now.Millisecond.ToString());
}));
}
//functions
public void process()
{
while (true)
{
FeatureExtracting.Notifier.WaitOne();
foreach (Bitmap image in queue.GetConsumingEnumerable())
{
BlobCounter bc = new BlobCounter();
bc.MinWidth = 5;
bc.MinHeight = 5;
bc.FilterBlobs = true;
bc.ObjectsOrder = ObjectsOrder.Size;
bc.ProcessImage(image);
Rectangle[] rects = bc.GetObjectsRectangles();
Rectangle biggest = new Rectangle(0, 0, 0, 0);
Graphics g = Graphics.FromImage(image);
//double ratio = 0;
foreach (Blob blob in bc.GetObjectsInformation())
{
List<IntPoint> edgePoints = bc.GetBlobsEdgePoints(blob);
List<IntPoint> top;
List<IntPoint> bottom;
bc.GetBlobsTopAndBottomEdges(blob, out top, out bottom);
}
foreach (Rectangle r in rects)
{
biggest = rects[0];
g.DrawRectangle(new Pen(Color.Green, 3), r);
}
int objectCeter = 0;
if (biggest.Width > 70)
{
objectCeter = (((biggest.Width / 2) + biggest.X) - image.Width / 2);
}
g.DrawRectangle(new Pen(Color.Blue), biggest);
if (biggest.Height < 20)
{
}
string drawString = biggest.Height + " <-- Height Width --> " + biggest.Width + "\n Image Center = " + objectCeter;
System.Drawing.Font drawFont = new System.Drawing.Font("Arial", 8);
System.Drawing.SolidBrush drawBrush = new System.Drawing.SolidBrush(System.Drawing.Color.White);
float x = 10.0F;
float y = 10.0F;
System.Drawing.StringFormat drawFormat = new System.Drawing.StringFormat();
g.DrawString(drawString, drawFont, drawBrush, x, y, drawFormat);
drawFont.Dispose();
drawBrush.Dispose();
//Merge a = new Merge(image);
// Program.mainForm.VideoViewer.Image = a.Apply(crop.Apply(this.Camera.Image));
Stats a = new Stats();
a.blobCount = 0;
ActionPlanning.queue.Add(a);
ActionPlanning.Notifier.Set();
#if DEBUG
Program.mainForm.VideoViewer.Image = image;
#endif
}
}
}
void FinalVideo_NewFrame2(object sender, NewFrameEventArgs eventArgs)
{
Icon newIcon = new Icon(@"c:\users\gregster\documents\visual studio 2012\Projects\WebCamTrack\WebCamTrack\bin\Debug\Aqua-Ball-Red-icon.ico");
BlobCounter bc = new BlobCounter();
EuclideanColorFiltering filter = new EuclideanColorFiltering();
Bitmap video = (Bitmap)eventArgs.Frame.Clone();//sem filtro
Bitmap video1 = (Bitmap)eventArgs.Frame.Clone();// imagem com filtro
//
filter.CenterColor = new RGB(10, 10, 10);
filter.Radius = 20;
filter.ApplyInPlace(video1);//aplicando o filtro
bc.MinWidth = 12;
bc.MinHeight = 12;
bc.FilterBlobs = true;
// bc.ObjectsOrder = ObjectsOrder.Size;
bc.ProcessImage(video1);// processando a imagem que ja foi filtrada para identificar objetos
Rectangle[] rects = bc.GetObjectsRectangles();
foreach (Rectangle recs in rects)
if (rects.Length > 0)
{
foreach (Rectangle objectRect in rects)
{
Graphics g = Graphics.FromImage(video);//Desenhar quadrado em frente da imagem
Graphics i = Graphics.FromImage(video);
Graphics h = Graphics.FromImage(video1);
if (objectRect.Width < 50 && objectRect.Height < 50)
{
count = count + 1;
}
using (Pen pen = new Pen(Color.FromArgb(160, 255, 160), 5))
{
g.DrawIcon(newIcon, objectRect);
h.DrawRectangle(pen, objectRect);
}
string strNumber = Convert.ToString(count);
// Create font and brush.
Font drawFont = new Font("Arial", 16);
SolidBrush drawBrush = new SolidBrush(Color.Black);
// Create point for upper-left corner of drawing.
PointF drawPoint = new PointF(150.0F, 150.0F);
// Draw string to screen.
i.DrawString(strNumber, drawFont, drawBrush, drawPoint);
i.Dispose();
g.Dispose();
h.Dispose();
}
}
pictureBox1.Image = video;
pictureBox2.Image = video1;
}
public void Video_NewFrame(object sender, NewFrameEventArgs eventArgs)
{
UnmanagedImage image = UnmanagedImage.FromManagedImage((Bitmap) eventArgs.Frame.Clone());
var extractChannel = new ExtractChannel(RGB.R);
UnmanagedImage channel = extractChannel.Apply(image);
// UnmanagedImage originalRed = channel.Clone();
if (true) {
var threshold = new Threshold(200);
threshold.ApplyInPlace(channel);
////filter to convert RGB image to 8bpp gray scale for image processing
//IFilter gray_filter = new GrayscaleBT709();
//gray_image = gray_filter.Apply(gray_image);
////thresholding a image
//Threshold th_filter = new Threshold(color_data.threshold);
//th_filter.ApplyInPlace(gray_image);
//erosion filter to filter out small unwanted pixels
Erosion3x3 erosion = new Erosion3x3();
erosion.ApplyInPlace(channel);
//dilation filter
//Dilatation3x3 dilatation = new Dilatation3x3();
//dilatation.ApplyInPlace(channel);
//GrayscaleToRGB filter = new GrayscaleToRGB();
//image = filter.Apply(channel);
//ReplaceChannel replaceFilter = new ReplaceChannel(RGB.B, channel);
//replaceFilter.ApplyInPlace(image);
}
BlobCounter bc = new BlobCounter();
//arrange blobs by area
bc.ObjectsOrder = ObjectsOrder.Area;
bc.FilterBlobs = true;
bc.MinHeight = minObjectSize;
bc.MinWidth = minObjectSize;
bc.MaxHeight = maxObjectSize;
bc.MaxWidth = maxObjectSize;
//process image for blobs
bc.ProcessImage(channel);
channel.Dispose();
// if (motionDetector.ProcessFrame(image) > 0.02) {
// for (int i = 0; i < blobCountingObjectsProcessing.ObjectRectangles.Length; i++) {
Rectangle[] rectangles = bc.GetObjectsRectangles();
Blob[] blobs = bc.GetObjectsInformation();
for (int i = 0; i < bc.ObjectsCount; i++) {
Rectangle rectangle = rectangles[i];
int width = rectangle.Width;
int height = rectangle.Height;
// if (width < maxObjectSize && height < maxObjectSize && width > minObjectSize && height > minObjectSize) {
Drawing.Rectangle(image, rectangle, colorList[i % colorList.Length]);
if (i == 0) {
Position = GetCenterOfMass(image, rectangle);
Drawing.FillRectangle(image, rectangle, Color.BlanchedAlmond);
Drawing.FillRectangle(image, new Rectangle((int) Position.U - dotSize, (int) Position.V - dotSize, dotSize * 3, dotSize * 3), Color.Indigo);
}
// }
}
// }
Image = image.ToManagedImage();
// videoForm.ImageDestination.Image = image.ToManagedImage();
}
private void BtnCalculate_Click(object sender, RoutedEventArgs e)
{
if (imageLoaded)
{
Stopwatch stopwatch = new Stopwatch();
stopwatch.Start();
AForge.Imaging.UnmanagedImage unmanagedImage1 = AForge.Imaging.UnmanagedImage.FromManagedImage(GrayScaleImage);
AForge.Imaging.BlobCounter bc = new AForge.Imaging.BlobCounter
{
CoupledSizeFiltering = true,
FilterBlobs = true,
MinHeight = 30,
MinWidth = 30,
MaxHeight = 100,
MaxWidth = 100
};
bc.ProcessImage(GrayScaleImage);
lblBlobCount.Content = bc.ObjectsCount;
Bitmap indexMap = AForge.Imaging.Image.Clone(GrayScaleImage);
for (int x = 0; x < indexMap.Width; x++)
{
for (int y = 0; y < indexMap.Height; y++)
{
indexMap.SetPixel(x, y, System.Drawing.Color.Black);
}
}
System.Drawing.Rectangle[] rects = bc.GetObjectsRectangles();
// process blobs
BreadBlob[] breadBlob1 = new BreadBlob[bc.ObjectsCount];
int blobArrayIndex = 0;
int blobPt = Convert.ToInt16(txbBlobNum.Text);
int blobThreshold = Convert.ToInt16(txbBlobThreshold.Text);
if (blobPt >= bc.ObjectsCount)
{
blobPt = bc.ObjectsCount - 1;
}
StaticsCalculator MuffinStatistics = new StaticsCalculator();
Graphics g = Graphics.FromImage(indexMap);
foreach (System.Drawing.Rectangle rect in rects)
{
//initialize Object
breadBlob1[blobArrayIndex] = new BreadBlob();
breadBlob1[blobArrayIndex].TopDownThreshold = blobThreshold;
byte[,] blobArray = new byte[rect.Width, rect.Height];
for (int x = rect.Left; x < rect.Right; x++)
{
for (int y = rect.Top; y < rect.Bottom; y++)
{
System.Drawing.Color tempPixelColor = GrayScaleImage.GetPixel(x, y);
blobArray[x - rect.Left, y - rect.Top] = tempPixelColor.G;
}
}
breadBlob1[blobArrayIndex].PixelArray = blobArray;
breadBlob1[blobArrayIndex].X = rect.X;
breadBlob1[blobArrayIndex].Y = rect.Y;
MuffinStatistics.Add(breadBlob1[blobArrayIndex].Variance.QAverage);
if (blobArrayIndex == blobPt)
{
System.Drawing.Rectangle tempRect = rect;
tempRect.X -= 1;
tempRect.Y -= 1;
tempRect.Width += 2;
tempRect.Height += 2;
AForge.Imaging.Drawing.Rectangle(unmanagedImage1, tempRect, System.Drawing.Color.Yellow);
}
if (breadBlob1[blobArrayIndex].IsTop())
{
AForge.Imaging.Drawing.Rectangle(unmanagedImage1, rect, System.Drawing.Color.Green);
}
else
{
AForge.Imaging.Drawing.Rectangle(unmanagedImage1, rect, System.Drawing.Color.Red);
}
RectangleF rectf = new RectangleF(rect.X, rect.Y, rect.Width, rect.Height);
g.SmoothingMode = SmoothingMode.AntiAlias;
g.InterpolationMode = InterpolationMode.HighQualityBicubic;
g.PixelOffsetMode = PixelOffsetMode.HighQuality;
g.DrawString(Convert.ToString(blobArrayIndex), new Font("Arial", 5), System.Drawing.Brushes.White, rectf);
lblBlobHeight.Content = rect.Height;
lblBlobWidth.Content = rect.Width;
blobArrayIndex++;
}
BitmapImage indexMap_temp = ToBitmapImage(indexMap);
g.Flush();
// conver to managed image if it is required to display it at some point of time
Bitmap managedImage = unmanagedImage1.ToManagedImage();
// create filter
Add filter = new Add(indexMap);
// apply the filter
Bitmap resultImage = filter.Apply(managedImage);
BitmapImage GrayImage_temp = ToBitmapImage(resultImage);
imgGray.Source = GrayImage_temp;
stopwatch.Stop();
lblTime.Content = stopwatch.ElapsedMilliseconds;
lbl9var_1.Content = breadBlob1[blobPt].GetVariance(BreadBlob.VarianceType.S1);
lbl9var_2.Content = breadBlob1[blobPt].GetVariance(BreadBlob.VarianceType.S2);
lbl9var_3.Content = breadBlob1[blobPt].GetVariance(BreadBlob.VarianceType.S3);
lbl9var_4.Content = breadBlob1[blobPt].GetVariance(BreadBlob.VarianceType.S4);
lbl9var_5.Content = breadBlob1[blobPt].GetVariance(BreadBlob.VarianceType.S5);
lbl9var_6.Content = breadBlob1[blobPt].GetVariance(BreadBlob.VarianceType.S6);
lbl9var_7.Content = breadBlob1[blobPt].GetVariance(BreadBlob.VarianceType.S7);
lbl9var_8.Content = breadBlob1[blobPt].GetVariance(BreadBlob.VarianceType.S8);
lbl9var_9.Content = breadBlob1[blobPt].GetVariance(BreadBlob.VarianceType.S9);
lbl9var_avg.Content = breadBlob1[blobPt].GetVariance(BreadBlob.VarianceType.Savg);
lblLib.Content = "AForge";
lblVariance.Content = breadBlob1[blobPt].GetVariance(BreadBlob.VarianceType.All);
lblX.Content = breadBlob1[blobPt].X;
lblY.Content = breadBlob1[blobPt].Y;
lblQ1Variance.Content = breadBlob1[blobPt].GetVariance(BreadBlob.VarianceType.Q1);
lblQ2Variance.Content = breadBlob1[blobPt].GetVariance(BreadBlob.VarianceType.Q2);
lblQ3Variance.Content = breadBlob1[blobPt].GetVariance(BreadBlob.VarianceType.Q3);
lblQ4Variance.Content = breadBlob1[blobPt].GetVariance(BreadBlob.VarianceType.Q4);
lblQAverage.Content = breadBlob1[blobPt].GetVariance(BreadBlob.VarianceType.QAverage);
lblAllMuffinStat.Content = MuffinStatistics.StandardDeviation;
// System.IO.File.WriteAllLines(@"C:\Users\Public\TestFolder\Histogram.txt", GrayImage1Histogram_str);
// E:\Brian\Project 3 - English Muffin Onsite Data Gathering\Data Analysis
//System.IO.File.WriteAllLines(@"E:\Brian\Project 3 - English Muffin Onsite Data Gathering\Data Analysis\Histogram.txt", GrayImage1Histogram_str);
bool fileExist = File.Exists("C:\\Users\\kai23\\Projects\\ABI\\EnglishMuffinVision_AForge\\Data Analysis\\Data.csv");
using (System.IO.StreamWriter file = new System.IO.StreamWriter(@"C:\Users\kai23\Projects\ABI\EnglishMuffinVision_AForge\Data AnalysisData.csv", true))
{
if (!fileExist)
{
file.WriteLine("File Info" +
"Variance All," +
"Vari Q1:," +
"Vari Q2:," +
"Vari Q3:," +
"Vari Q4:," +
"Variance Average:");
}
file.WriteLine(Convert.ToString(lblFolder.Content) + "," +
Convert.ToString(breadBlob1[blobPt].GetVariance(BreadBlob.VarianceType.All)) + "," +
Convert.ToString(breadBlob1[blobPt].GetVariance(BreadBlob.VarianceType.Q1)) + "," +
Convert.ToString(breadBlob1[blobPt].GetVariance(BreadBlob.VarianceType.Q2)) + "," +
Convert.ToString(breadBlob1[blobPt].GetVariance(BreadBlob.VarianceType.Q3)) + "," +
Convert.ToString(breadBlob1[blobPt].GetVariance(BreadBlob.VarianceType.Q4)) + "," +
Convert.ToString(breadBlob1[blobPt].GetVariance(BreadBlob.VarianceType.QAverage)));
}
}
}
private Stats ExtractRedFeatures(Bitmap Filtered)
{
BlobCounter bc = new BlobCounter();
Stats redStats = new Stats();
bc.MinWidth = 5;
bc.MinHeight = 5;
bc.FilterBlobs = true;
bc.ObjectsOrder = ObjectsOrder.Size;
bc.ProcessImage(Filtered);
Rectangle[] rects = bc.GetObjectsRectangles();
Rectangle biggest = new Rectangle(0, 0, 0, 0);
Graphics g = Graphics.FromImage(Filtered);
if ((rects.Length > 0) && (rects[0].Height > 0))
{
biggest = rects[0];
redStats.RedBlockDetected = true;
redStats.RedBlockCenterLocation = new System.Drawing.Point(((((biggest.Width / 2) + biggest.X))), (biggest.Y + biggest.Height / 2));
redStats.RedBlockHeight = biggest.Height;
redStats.RedBlockWidth = biggest.Width;
redStats.RedBlockDistance = (25.0f / biggest.Height);
Console.WriteLine(redStats.RedBlockDistance);
}
else
{
redStats.RedBlockDetected = false;
}
string objectString = Math.Round((25.0f / biggest.Height), 2).ToString();
string drawString = biggest.Height + " <-- Height Width --> " + biggest.Width + "\n Image Center = " + (redStats.RedBlockCenterLocation.X/* - (Filtered.Width / 2)*/);
g.DrawRectangle(new Pen(Color.Blue), biggest);
g.DrawString(objectString, drawFont, Brushes.White, redStats.RedBlockCenterLocation.X, redStats.RedBlockCenterLocation.Y, drawFormat);
g.DrawString(drawString, drawFont, Brushes.White, x, y, drawFormat);
//return Filtered;
UpdateVideo(Filtered);
return redStats;
}
public List<Rectangle> GetBlobRectangles(Blob blob)
{
BlobCounter blobCounter = new BlobCounter();
blobCounter.ProcessImage(ImageBitmap);
return blobCounter.GetObjectsRectangles().ToList();
}
private Stats ExtractBlueFeatures(Bitmap Filtered)
{
BlobCounter bc = new BlobCounter();
Stats blueStats = new Stats();
bc.MinWidth = 100;
bc.FilterBlobs = true;
bc.ObjectsOrder = ObjectsOrder.Size;
bc.ProcessImage(Filtered);
Rectangle[] rects = bc.GetObjectsRectangles();
//Graphics g = Graphics.FromImage(Filtered);
//UpdateVideo(Filtered);
if ((rects.Length > 0) && (rects[0].Height > 0))
{
// blueStats.BlueLineDetected = true;
blueStats.BlueLineDistance = (11.0 / rects[0].Height);
}
else
{
blueStats.BlueLineDetected = false;
}
return blueStats;
}
private Stats ExtractGreenFeatures(Bitmap Filtered)
{
BlobCounter bc = new BlobCounter();
Stats greenStats = new Stats();
bc.MinWidth = 15;
bc.MinHeight = 15;
bc.FilterBlobs = true;
bc.ObjectsOrder = ObjectsOrder.Size;
bc.ProcessImage(Filtered);
Rectangle[] rects = bc.GetObjectsRectangles();
// Graphics g = Graphics.FromImage(Filtered);
if ((rects.Length > 0) && (rects[0].Height > 0))
{
greenStats.GreenBlockDetected = true;
greenStats.GreenBlockCenterLocation = new System.Drawing.Point(((((rects[0].Width / 2) + rects[0].X))), (rects[0].Y + rects[0].Height / 2));
greenStats.GreenBlockHeight = rects[0].Height;
greenStats.GreenBlockWidth = rects[0].Width;
greenStats.GreenBlockDistance = (130.0f / rects[0].Height);
}
else
{
greenStats.GreenBlockDetected = false;
}
//UpdateVideo(Filtered);
return greenStats;
// User Feedback for debug
//string objectString = Math.Round((130.0f / biggest.Height), 2).ToString();
//string drawString = biggest.Height + " <-- Height Width --> " + biggest.Width + "\n Image Center = " + (greenStats.RedBlockCenterLocation.X);
//g.DrawRectangle(new Pen(Color.Blue), biggest);
//g.DrawString(objectString, drawFont, Brushes.White, greenStats.RedBlockCenterLocation.X, greenStats.RedBlockCenterLocation.Y, drawFormat);
//g.DrawString(drawString, drawFont, Brushes.White, x, y, drawFormat);
//return Filtered;
}
/// <summary>
/// Get rectangles objects in the image
/// </summary>
/// <param name="image">Image to get the rectangles</param>
/// <param name="minWidth">Minimum width to consider as a valid rectangle</param>
/// <param name="minHeight">Minimum height to consider as a valid ractangle</param>
/// <returns>Return an array with the selected rectangle</returns>
public Rectangle[] GetObjectsCoordinates(System.Drawing.Image image, int minWidth, int minHeight)
{
// create grayscale filter
GrayscaleBT709 grayscaleFilter = new GrayscaleBT709();
// apply it to color filtered image
Bitmap grayImage = grayscaleFilter.Apply(new Bitmap(image));
// create blob counter
AForge.Imaging.BlobCounter blobCounter = new AForge.Imaging.BlobCounter();
// configure it to filter out small objects
blobCounter.MinWidth = minWidth;
blobCounter.MinHeight = minHeight;
blobCounter.FilterBlobs = true;
// set ordering - bigger objects go first
blobCounter.ObjectsOrder = AForge.Imaging.ObjectsOrder.YX;
// locate blobs
blobCounter.ProcessImage(grayImage);
Rectangle[] rects = blobCounter.GetObjectsRectangles();
return rects;
}
public Bitmap showMotion(Bitmap originalImage, Bitmap motionImage)
{
BlobCounter blobCounter = new BlobCounter();
blobCounter.ProcessImage(motionImage);
Rectangle[] rects = blobCounter.GetObjectsRectangles();
Graphics g = Graphics.FromImage(originalImage);
foreach (Rectangle rc in rects)
{
rat1.checkRectangleProximity(rc);
rat2.checkRectangleProximity(rc);
}
rat1.computeCenter();
rat2.computeCenter();
rat2.compareAndChange(rat1);
rat1.drawTracker(g);
rat2.drawTracker(g);
g.Dispose();
return originalImage;
}
public static System.Drawing.Image AforgeAutoCrop(Bitmap selectedImage,
DetectBorderParam param)
{
// 一些参数的默认值
if (param.MinObjectWidth == 0)
param.MinObjectWidth = 500;
if (param.MinObjectHeight == 0)
param.MinObjectHeight = 500;
Bitmap autoCropImage = null;
try
{
autoCropImage = selectedImage;
// create grayscale filter (BT709)
Grayscale filter = new Grayscale(0.2125, 0.7154, 0.0721);
Bitmap grayImage = filter.Apply(autoCropImage);
// create instance of skew checker
DocumentSkewChecker skewChecker = new DocumentSkewChecker();
// get documents skew angle
double angle = skewChecker.GetSkewAngle(grayImage);
// create rotation filter
RotateBilinear rotationFilter = new RotateBilinear(-angle);
rotationFilter.FillColor = Color.White;
// rotate image applying the filter
Bitmap rotatedImage = rotationFilter.Apply(grayImage);
new ContrastStretch().ApplyInPlace(rotatedImage);
new Threshold(100).ApplyInPlace(rotatedImage);
BlobCounter bc = new BlobCounter();
bc.FilterBlobs = true;
bc.MinWidth = param.MinObjectWidth; // 500;
bc.MinHeight = param.MinObjectHeight; // 500;
bc.ProcessImage(rotatedImage);
Rectangle[] rects = bc.GetObjectsRectangles();
if (rects.Length == 0)
{
System.Windows.Forms.MessageBox.Show("No rectangle found in image ");
}
else if (rects.Length == 1)
{
autoCropImage = rotatedImage.Clone(rects[0], rotatedImage.PixelFormat);
}
else if (rects.Length > 1)
{
// get largets rect
Console.WriteLine("Using largest rectangle found in image ");
var r2 = rects.OrderByDescending(r => r.Height * r.Width).ToList();
autoCropImage = rotatedImage.Clone(r2[1], rotatedImage.PixelFormat);
}
else
{
Console.WriteLine("Huh? on image ");
}
}
catch (Exception ex)
{
// MessageBox.Show(ex.Message);
throw ex;
}
return autoCropImage;
}
public static bool GetSkewParam(Bitmap selectedImage,
DetectBorderParam param,
out double angle,
out Rectangle rect)
{
// 一些参数的默认值
if (param.MinObjectWidth == 0)
param.MinObjectWidth = 500;
if (param.MinObjectHeight == 0)
param.MinObjectHeight = 500;
Bitmap autoCropImage = null;
try
{
autoCropImage = selectedImage;
#if NO
// create grayscale filter (BT709)
Grayscale filter = new Grayscale(0.2125, 0.7154, 0.0721);
Bitmap grayImage = filter.Apply(autoCropImage);
#endif
Bitmap grayImage = selectedImage.Clone(new Rectangle(0, 0, selectedImage.Width, selectedImage.Height),
System.Drawing.Imaging.PixelFormat.Format8bppIndexed);
// create instance of skew checker
DocumentSkewChecker skewChecker = new DocumentSkewChecker();
// get documents skew angle
angle = skewChecker.GetSkewAngle(grayImage);
// create rotation filter
RotateBilinear rotationFilter = new RotateBilinear(-angle);
rotationFilter.FillColor = Color.Black; // .White;
rotationFilter.KeepSize = true;
// rotate image applying the filter
Bitmap rotatedImage = rotationFilter.Apply(grayImage);
new ContrastStretch().ApplyInPlace(rotatedImage);
new Threshold(100).ApplyInPlace(rotatedImage);
BlobCounter bc = new BlobCounter();
bc.FilterBlobs = true;
bc.MinWidth = param.MinObjectWidth; // 500;
bc.MinHeight = param.MinObjectHeight; // 500;
#if NO
bc.MinWidth = 500;// grayImage.Width / 10; // 500
bc.MinHeight = 500;// grayImage.Height / 10; // 500
#endif
bc.ProcessImage(rotatedImage);
Rectangle[] rects = bc.GetObjectsRectangles();
if (rects.Length == 0)
{
// System.Windows.Forms.MessageBox.Show("No rectangle found in image ");
rect = new Rectangle(0, 0, 0, 0);
return false;
}
else if (rects.Length == 1)
{
rect = rects[0];
// autoCropImage = rotatedImage.Clone(rects[0], rotatedImage.PixelFormat);
}
else if (rects.Length > 1)
{
// TODO： 应该把这些矩形合并在一起
Rectangle first = new Rectangle(0, 0, 0, 0);
int i = 0;
foreach (Rectangle one in rects)
{
Debug.WriteLine("one=" + one.ToString());
if (i == 0)
first = one;
else
first = Merge(first, one);
i++;
}
rect = first;
Debug.WriteLine("result=" + rect.ToString());
#if NO
// get largets rect
Console.WriteLine("Using largest rectangle found in image ");
var r2 = rects.OrderByDescending(r => r.Height * r.Width).ToList();
rect = r2[1];
// autoCropImage = rotatedImage.Clone(r2[1], rotatedImage.PixelFormat);
#endif
}
else
{
// Console.WriteLine("Huh? on image ");
rect = new Rectangle(0, 0, 0, 0);
return false;
}
#if NO
Blob[] blobs = bc.GetObjectsInformation();
foreach (var blob in blobs)
{
List<IntPoint> edgePoints = blobCounter.GetBlobsEdgePoints(blob);
List<IntPoint> cornerPoints;
// use the shape checker to extract the corner points
if (shapeChecker.IsQuadrilateral(edgePoints, out cornerPoints))
{
// only do things if the corners form a rectangle
if (shapeChecker.CheckPolygonSubType(cornerPoints) == PolygonSubType.Rectangle)
{
// here i use the graphics class to draw an overlay, but you
// could also just use the cornerPoints list to calculate your
// x, y, width, height values.
List<Point> Points = new List<Point>();
foreach (var point in cornerPoints)
{
Points.Add(new Point(point.X, point.Y));
}
Graphics g = Graphics.FromImage(image);
g.DrawPolygon(new Pen(Color.Red, 5.0f), Points.ToArray());
image.Save("result.png");
}
}
}
#endif
}
catch (Exception ex)
{
// MessageBox.Show(ex.Message);
throw ex;
}
finally
{
if (autoCropImage != null)
autoCropImage.Dispose();
}
return true;
}
Bitmap denoise(Bitmap bmp, Size size)
{
Bitmap ivbmp = bmp.Clone() as Bitmap;
Invert iv = new Invert();
iv.ApplyInPlace(ivbmp);
BlobCounter bc = new BlobCounter();
bc.FilterBlobs = true;
bc.MinWidth = bc.MinHeight = 0;
bc.MaxWidth = size.Width;
bc.MaxHeight = size.Height;
bc.ProcessImage(ivbmp);
Rectangle[] rects = bc.GetObjectsRectangles();
Bitmap tmp = new Bitmap(bmp);
using (Graphics g = Graphics.FromImage(tmp))
//g.DrawRectangles(Pens.Red, rects);
if (rects.Length > 0)
g.FillRectangles(Brushes.White, rects);
//iv.ApplyInPlace(tmp);
return tmp;
}
private void AnaliseMap(Bitmap mapImage)
{
mapData.Clear();
ColorFiltering filter = new ColorFiltering();
Trace.WriteLine("Analysing color map " + mapLocation + "...");
foreach (String action in colorMap.Actions)
{
Color actionColor = colorMap.GetColorFor(action);
filter.Red = new IntRange(actionColor.R, actionColor.R);
filter.Green = new IntRange(actionColor.G, actionColor.G);
filter.Blue = new IntRange(actionColor.B, actionColor.B);
using (Bitmap colorFilteredMapImage = filter.Apply(mapImage))
{
// Once we have isolated the action color on the map image
// we need to find the biggest rectangle left in the map (as there could be noise)
BlobCounter bc = new BlobCounter();
bc.ProcessImage(colorFilteredMapImage);
Rectangle[] rects = bc.GetObjectsRectangles();
if (rects.Count<Rectangle>() == 0) Trace.WriteLine("Warning: No rectangles were found for " + actionColor.ToString());
Rectangle biggestRect = Rectangle.Empty;
foreach (Rectangle rect in rects)
{
// Compare areas
if (rect.Width * rect.Height > biggestRect.Width * biggestRect.Height)
{
biggestRect = rect;
}
}
// Did we find a rectangle?
if (!biggestRect.Equals(Rectangle.Empty) && (biggestRect.Width * biggestRect.Height > MIN_AREA_THRESHOLD))
{
Trace.WriteLine("Found rectangle for " + action + ": " + biggestRect.ToString());
mapData[action] = biggestRect;
}
}
}
}
/// <summary>
/// Based off www.codeproject.com/Articles/10248/Motion-Detection-Algorithms
/// </summary>
/// <param name="thresholdImage"></param>
/// <returns></returns>
private List<Rectangle> GetLocationRectangles(Bitmap thresholdImage)
{
int size = thresholdImage.Size.Width / 20;
BlobCounter blobCounter = new BlobCounter();
blobCounter.ProcessImage(thresholdImage);
Rectangle[] rects = blobCounter.GetObjectsRectangles();
List<Rectangle> largeBlobRects = new List<Rectangle>();
foreach (Rectangle rc in rects)
{
if ((rc.Width < size) && (rc.Height < size*2.5)) continue;
largeBlobRects.Add(rc);
}
return largeBlobRects.OrderBy(x => x.Height * x.Width).ToList();
}
