private void btnMatch_Click(object sender, EventArgs e)
{
//Converting Template into GrayScale Image
Bitmap templateImage = new Bitmap(textBox2.Text);
Grayscale gg = new GrayscaleBT709();
Bitmap grayTemplate = gg.Apply(templateImage);
// create template matching algorithm's instance
ExhaustiveTemplateMatching tm = new ExhaustiveTemplateMatching(0);
// find all matchings with specified above similarity
Bitmap sourceImage = new Bitmap(textBox1.Text);
Bitmap graySource = gg.Apply(sourceImage);
TemplateMatch[] matchings = tm.ProcessImage(graySource, grayTemplate);
Graphics g = Graphics.FromImage(sourceImage);
if (matchings[0].Similarity > 0.8f)
{
int X = matchings[0].Rectangle.X;
int Y = matchings[0].Rectangle.Y;
g.DrawRectangle(new Pen(Color.HotPink, 20), X, Y, matchings[0].Rectangle.Width, matchings[0].Rectangle.Height);
PicTemplate.Image = sourceImage;
MessageBox.Show("Match found...");
}
else
{
MessageBox.Show("Match Not Found...");
}
}
private void grayScaleToolStripMenuItem_Click(object sender, EventArgs e)
{
GrayscaleBT709 gray = new GrayscaleBT709();
pictureBox2.Image = gray.Apply((Bitmap)pictureBox1.Image);
pictureBox5.Image = gray.Apply((Bitmap)pictureBox4.Image);
}
private void videoSourcePlayer1_NewFrame(object sender, ref Bitmap obraz)
{
int x = 0;
Bitmap objectsImage = null;
Bitmap mImage = null;
mImage = (Bitmap)obraz.Clone();
filter.CenterColor = Color.FromArgb(kolor.ToArgb());
filter.Radius = (short)range;
objectsImage = obraz;
filter.ApplyInPlace(objectsImage);
if (czyKolorWybrany == true)
{
BitmapData objectsData = objectsImage.LockBits(new Rectangle(0, 0, obraz.Width, obraz.Height), ImageLockMode.ReadOnly, obraz.PixelFormat);
UnmanagedImage grayImage = filtrSzarosci.Apply(new UnmanagedImage(objectsData));
objectsImage.UnlockBits(objectsData);
licznikDrobin.ProcessImage(grayImage);
Rectangle[] kwadraty = licznikDrobin.GetObjectRectangles();
if (kwadraty.Length > 0)
{
foreach (Rectangle aktualnyKwadrat in kwadraty)
{
Graphics grafika = Graphics.FromImage(mImage);
using (Pen pen = new Pen(Color.FromArgb(0, 255, 0), 2))
{
grafika.DrawRectangle(pen, aktualnyKwadrat);
}
RozmiaryFigury a = new RozmiaryFigury(aktualnyKwadrat.Height, aktualnyKwadrat.Width); //tutaj wypelniaja sie liczniki (wewnatrz klasy RozmiaryFigury)
tablicaFigur[x] = a;
x++;
grafika.Dispose();
}
if (aktualnyStanWykresu == "dynamiczny")
{
backgroundWorker1.RunWorkerAsync();
}
if (aktualnyStanWykresu == "statyczny" && licznikResetu < 2)
{
backgroundWorker1.RunWorkerAsync();
licznikResetu++;
backgroundWorker1.CancelAsync();
}
if (aktualnyStanWykresu == "statyczny" && licznikResetu == 2)
{
backgroundWorker1.CancelAsync();
}
}
}
obraz = mImage;
}
private void greyScaleToolStripMenuItem_Click(object sender, EventArgs e)
{
GrayscaleBT709 gb = new GrayscaleBT709();
newImg = gb.Apply(orgImg);
pictureBox2.Image = newImg;
}
// New frame received by the player
private void videoSourcePlayer_NewFrame(object sender, ref Bitmap image)
{
//DateTime now = DateTime.Now;
Graphics g = Graphics.FromImage(image);
// paint current time
//SolidBrush brush = new SolidBrush( Color.Red );
//g.DrawString( now.ToString( ), this.Font, brush, new PointF( 5, 5 ) );
if (radioButtonFixPicNo.Checked)
{
Crop filter = new Crop(new Rectangle(50, 300, 400, 400));
Bitmap newImage = filter.Apply(image);
ResizeBilinear filter1 = new ResizeBilinear(200, 200);
newImage = filter1.Apply(newImage);
GrayscaleBT709 filter2 = new GrayscaleBT709();
Bitmap grayImage = filter2.Apply(newImage);
ResizeBilinear filter3 = new ResizeBilinear(28, 28);
Bitmap smallPic = filter3.Apply(grayImage);
pictureBox1.Image = grayImage;
pictureBox2.Image = smallPic;
}
//brush.Dispose( );
g.Dispose( );
}
private void btnGriYap_Click(object sender, EventArgs e)
{
Bitmap image = new Bitmap(pictureBox1.Image);
GrayscaleBT709 griResim = new GrayscaleBT709();
pictureBox4.Image = griResim.Apply((Bitmap)pictureBox1.Image);
}
private void detectSkin()
{
//skin detection
Color clr = Color.FromArgb(Color.White.ToArgb());
Color clr1 = Color.FromArgb(Color.Black.ToArgb());
int imgHeight = imageGot.Height;
int imgWidth = imageGot.Width;
String sc = "";
var rect = new Rectangle(0, 0, imgWidth, imgHeight);
var data = imageGot.LockBits(rect, ImageLockMode.ReadWrite, imageGot.PixelFormat);
var depth = Bitmap.GetPixelFormatSize(data.PixelFormat) / 8; //bytes per pixel
var buffer = new byte[data.Width * data.Height * depth];
//copy pixels to buffer
Marshal.Copy(data.Scan0, buffer, 0, buffer.Length);
ProcessDetectSkin(buffer, 0, 0, data.Width, data.Height, data.Width, depth);
//Copy the buffer back to image
Marshal.Copy(buffer, 0, data.Scan0, buffer.Length);
imageGot.UnlockBits(data);
GrayscaleBT709 gs = new GrayscaleBT709();
imageGot = gs.Apply(imageGot);
Threshold th = new Threshold();
imageGot = th.Apply(imageGot);
}
public Bitmap Render()
{
if (this.IsReady == false)
{
return(null);
}
Bitmap r = null;
lock (this)
{
IFilter grayscaleFilter = new GrayscaleBT709();
Bitmap b = grayscaleFilter.Apply(this.mBmp);
r = new Bitmap(b.Width, b.Height);
Graphics g = Graphics.FromImage(r);
g.DrawImage(b, 0, 0, r.Width, r.Height);
b.Dispose();
if (this.ShowGrid)
{
this.DrawGrid(g);
}
this.HighlightRegion(g, this.mBmp);
this.DrawOutline(g);
g.Dispose();
}
return(r);
}
private void CameraPanel_NewFrame(System.Drawing.Bitmap oBitmap)
{
#region 去除绿色以外其他色、绿色区域绘制边框
Bitmap objectImage = colorFilter.Apply(oBitmap);
BitmapData objectData = objectImage.LockBits(new Rectangle(0, 0, oBitmap.Width, oBitmap.Height),
ImageLockMode.ReadOnly, oBitmap.PixelFormat);
UnmanagedImage grayImage = grayFilter.Apply(new UnmanagedImage(objectData));
objectImage.UnlockBits(objectData);
blobCounter1.ProcessImage(grayImage);
Rectangle[] rects = blobCounter1.GetObjectsRectangles();
if (rects.Length > 0)
{
Rectangle objectRect = rects[0];
Graphics g = Graphics.FromImage(oBitmap);
using (System.Drawing.Pen pen = new System.Drawing.Pen(System.Drawing.Color.FromArgb(160, 255, 160), 3))
{
g.DrawRectangle(pen, objectRect);
}
g.Dispose();
}
UpdateObjectPicture(objectImage);
#endregion
//#region 去除绿色以外其他色
//Bitmap objectImage = colorFilter.Apply(oBitmap);
//UpdateObjectPicture(objectImage);
//#endregion
//Bitmap objectImage = SobelEdgeFilter.Apply(oBitmap);
//UpdateObjectPicture(objectImage);
}
public static Bitmap ConvertToFormat(Bitmap image)
{
GrayscaleBT709 gg = new GrayscaleBT709();
Bitmap akhir = gg.Apply(image);
return(akhir);
}
private void grayScaleToolStripMenuItem_Click(object sender, EventArgs e)
{
GrayscaleBT709 grayObj = new GrayscaleBT709();
grayImage = grayObj.Apply(originalImage);
pictureBox2.Image = grayImage;
}
/// <summary>
/// Called when videoPlayer receives a new frame.
/// </summary>
/// <param name="sender"></param>
/// <param name="image"></param>
private void videoPlayer_NewFrame(object sender, ref System.Drawing.Bitmap image)
{
// conver frame to grayscale
var grayscale = new GrayscaleBT709();
var grayImage = grayscale.Apply(image);
// convert image to dlib format
var img = grayImage.ToArray2D <RgbPixel>();
// detect face every 4 frames
if (frameIndex % 4 == 0)
{
var faces = faceDetector.Detect(img);
if (faces.Length > 0)
{
currentFace = faces.First();
}
}
// abort if we don't have a face at this point
if (currentFace == default(DlibDotNet.Rectangle))
{
return;
}
// detect facial landmarks
var shape = shapePredictor.Detect(img, currentFace);
// detect eye state
DetectEyeState(image, shape);
// update frame counter
frameIndex++;
}
private double[,] CreateGLCM(Bitmap image)
{
var grayLevelCooccurrenceMatrix = new GrayLevelCooccurrenceMatrix();
image = grayscaleBT.Apply(image);
return(grayLevelCooccurrenceMatrix.Compute(image));
}
private void differenceToolStripMenuItem_Click(object sender, EventArgs e)
{
GrayscaleBT709 grayObject = new GrayscaleBT709();
pictureBox2.Image = grayObject.Apply((Bitmap)pictureBox1.Image);
DifferenceEdgeDetector filter = new DifferenceEdgeDetector();
pictureBox2.Image = filter.Apply((Bitmap)pictureBox2.Image);
}
private void homogenityToolStripMenuItem_Click(object sender, EventArgs e)
{
GrayscaleBT709 grayObject = new GrayscaleBT709();
pictureBox2.Image = grayObject.Apply((Bitmap)pictureBox1.Image);
HomogenityEdgeDetector filter = new HomogenityEdgeDetector();
pictureBox2.Image = filter.Apply((Bitmap)pictureBox2.Image);
}
private void abrirToolStripMenuItem_Click(object sender, EventArgs e)
{
if (openFileDialog1.ShowDialog() == (System.Windows.Forms.DialogResult.OK))
{
pictureBox1.Image = (Bitmap)System.Drawing.Image.FromFile(openFileDialog1.FileName);
GrayscaleBT709 gray = new GrayscaleBT709();
pictureBox2.Image = gray.Apply((Bitmap)pictureBox1.Image);
}
}
private Bitmap ProcessImage(Bitmap frame)
{
// convert the image to grayscale
var grayConverter = new GrayscaleBT709();
var grayFrame = grayConverter.Apply(frame);
// use a sobel edge detector to find color edges
var edgeDetector = new SobelEdgeDetector();
var edgeFrame = edgeDetector.Apply(grayFrame);
// threshold the edges
var thresholdConverter = new Threshold(200);
thresholdConverter.ApplyInPlace(edgeFrame);
// use a blobcounter to find interesting shapes
var detector = new BlobCounter()
{
FilterBlobs = true,
MinWidth = 25,
MinHeight = 25
};
detector.ProcessImage(edgeFrame);
// find the circular shape
var shapeDetector = new SimpleShapeChecker();
var blobs = detector.GetObjectsInformation();
var circles =
from blob in blobs
let edgePoints = detector.GetBlobsEdgePoints(blob)
where shapeDetector.CheckShapeType(edgePoints) == ShapeType.Circle
select blob;
// show the traffic sign
if (circles.Count() > 0)
{
var circleFrame = frame.Clone(circles.First().Rectangle, PixelFormat.DontCare);
trafficSignBox.Image = circleFrame;
}
// highlight every circle in the image
using (Graphics g = Graphics.FromImage(frame))
{
var rects = detector.GetObjectsRectangles();
var pen = new Pen(Color.Blue, 4);
foreach (var circle in circles)
{
g.DrawRectangle(pen, circle.Rectangle);
}
}
// update picture boxes
thresholdBox.Image = edgeFrame;
return(frame);
}
private void binarToolStripMenuItem_Click(object sender, EventArgs e)
{
GrayscaleBT709 grayoject = new GrayscaleBT709();
pictureBox2.Image = grayoject.Apply((Bitmap)pictureBox1.Image);
Threshold filter = new Threshold();
pictureBox2.Image = filter.Apply((Bitmap)pictureBox2.Image);
}
void videoSource_NewFrame(object sender, NewFrameEventArgs eventArgs)
{
Video = (Bitmap)eventArgs.Frame.Clone();
VideoClone = (Bitmap)Video.Clone();
original.Image = Video;
if (GrayIsOn)
{
grayBmp = grayFilter.Apply(VideoClone);
process.Image = grayBmp;
}
if (EdgeBmpIsOn)
{
grayBmp = grayFilter.Apply(VideoClone);
EdgeBmp = Sobeledgededector.Apply(grayBmp);
process.Image = EdgeBmp;
}
}
private void videoSourcePlayer1_NewFrame(object sender, ref Bitmap image)
{
Bitmap objectsImage = null;
Bitmap mImage = null;
mImage = (Bitmap)image.Clone();
filter.CenterColor = Color.FromArgb(color.ToArgb());
filter.Radius = (short)range;
objectsImage = image;
filter.ApplyInPlace(objectsImage);
BitmapData objectsData = objectsImage.LockBits(new Rectangle(0, 0, image.Width, image.Height),
ImageLockMode.ReadOnly, image.PixelFormat);
UnmanagedImage grayImage = grayscaleFilter.Apply(new UnmanagedImage(objectsData));
objectsImage.UnlockBits(objectsData);
blobCounter.ProcessImage(grayImage);
Rectangle[] rects = blobCounter.GetObjectRectangles();
if (rects.Length > 0)
{
foreach (Rectangle objectRect in rects)
{
Graphics g = Graphics.FromImage(mImage);
using (Pen pen = new Pen(Color.FromArgb(160, 255, 160), 5))
{
g.DrawRectangle(pen, objectRect);
}
g.Dispose();
}
}
image = mImage;
}
private void btnMatch_Click(object sender, EventArgs e)
{
//Przyswojenie bitmapy
Bitmap templateImage = new Bitmap(PicTemplate.Image);
Grayscale gg = new GrayscaleBT709();
//Converting Template into GrayScale Image
Bitmap grayTemplate = gg.Apply(templateImage);
//Wyłowanie algorytmu tamplate mathicng
// create template matching algorithm's instance
ExhaustiveTemplateMatching tm = new ExhaustiveTemplateMatching(0);
//Przyswojenie drugiego obrazku
Bitmap sourceImage = new Bitmap(PictureInput.Image);
Bitmap graySource = gg.Apply(sourceImage);
// find all matchings with specified above similarity
TemplateMatch[] matchings = tm.ProcessImage(graySource, grayTemplate);
lbRes.Text = "Result:";
Graphics g = Graphics.FromImage(sourceImage);
if (matchings[0].Similarity > 0.8f)
{
int X = matchings[0].Rectangle.X;
int Y = matchings[0].Rectangle.Y;
//ramka dla poszukiwanego objektu
g.DrawRectangle(new Pen(Color.Red, 3), X, Y, matchings[0].Rectangle.Width, matchings[0].Rectangle.Height);
//Show Original
PicTemplate.Image = sourceImage;
//Pokaz modal okienko
MessageBox.Show("Match found...");
}
else
{
MessageBox.Show("Match Not Found...");
}
}
private void fillHoleToolStripMenuItem_Click(object sender, EventArgs e)
{
GrayscaleBT709 greyscale = new GrayscaleBT709();
Bitmap grey = greyscale.Apply(skin);
Threshold filter = new Threshold(100);
filter.ApplyInPlace(grey);
Closing close = new Closing();
Bitmap j = close.Apply(grey);
Opening open = new Opening();
k = open.Apply(j);
pictureBox3.Image = k;
}
private void edgeDetect()
{
Bitmap news = new Bitmap(imageGot);
GrayscaleBT709 gs = new GrayscaleBT709();
imageGot = gs.Apply(imageGot);
CannyEdgeDetector cn = new CannyEdgeDetector();
cn.LowThreshold = 0;
cn.HighThreshold = 0;
cn.GaussianSigma = 1.4;
imageGot = cn.Apply(imageGot);
pictureBox1.Image = imageGot;
}
private void blackAndWhiteToolStripMenuItem_Click(object sender, EventArgs e)
{
if (checkifthereisimage() != 1)
{
return;
}
GrayscaleBT709 gray = new GrayscaleBT709();
try
{
pictureBox1ImagePreview.Image = gray.Apply((Bitmap)pictureBox1ImagePreview.Image);
imgFile = pictureBox1ImagePreview.Image;
}
catch (Exception ex)
{ }
}
/// <summary>
/// Called when videoPlayer receives a new frame.
/// </summary>
/// <param name="sender"></param>
/// <param name="image"></param>
private void videoPlayer_NewFrame(object sender, ref Bitmap image)
{
// convert image to grayscale
var gray = new GrayscaleBT709();
var frame = gray.Apply(image);
// threshold image to only keep light pixels
var threshold = new Threshold(125);
threshold.ApplyInPlace(frame);
// blank out everything but the road
var horizonY = (int)(image.Height * 0.65);
var fill = new CanvasFill(new Rectangle(0, 0, image.Width, horizonY), Color.Red);
fill.ApplyInPlace(frame);
// detect edges
var edgeDetector = new CannyEdgeDetector();
edgeDetector.ApplyInPlace(frame);
// do a hough line transformation, which will search for straight lines in the frame
var transform = new HoughLineTransformation();
transform.ProcessImage(frame);
var rawLines = transform.GetMostIntensiveLines(50);
// only keep non-horizontal lines that cross the horizon at the vanishing point
var lines = from l in rawLines
let range = new Range(-75, -65)
where range.IsInside(l.Radius) &&
(l.Theta <= 85 || l.Theta >= 95)
select l;
// show the edge detection view in the bottom left box
edgeBox.Image = frame;
// show the lane detection view in the bottom right box
var laneImg = new Bitmap(image.Width, image.Height);
Utility.DrawHoughLines(lines, laneImg, Color.White, 1);
laneBox.Image = laneImg;
// draw the lanes on the main camera image too
Utility.DrawHoughLines(lines, image, Color.LightGreen, 2);
}
/// <summary>
/// Called when videoPlayer receives a new frame.
/// </summary>
/// <param name="sender"></param>
/// <param name="image"></param>
private void videoPlayer_NewFrame(object sender, ref Bitmap image)
{
// grayscale the image
var grayscale = new GrayscaleBT709();
var frame = grayscale.Apply(image);
// only detect once every 5 frames
if (frameCounter++ % 5 == 0)
{
// scan the image and grab the first face
var faces = faceDetector.ProcessFrame(frame);
if (faces.Count() > 0)
{
// copy the face
faceRect = faces.First();
var face = image.Clone(faces.First(), PixelFormat.DontCare);
// search the face for the nose
var noses = noseDetector.ProcessFrame(face);
if (noses.Count() > 0)
{
// record new nose location
noseRect = noses.First();
noseRect.Offset(faceRect.Location);
}
}
}
// draw the mustache
using (Graphics g = Graphics.FromImage(image))
{
// we want a mustache three times as wide as the nose
int mustacheWidth = 2 * noseRect.Width;
int mustacheHeight = mustacheWidth * mustache.Height / mustache.Width;
// center the mustache on the bottom of the nose
int x1 = noseRect.X - (mustacheWidth / 4);
int x2 = noseRect.X + noseRect.Width + (mustacheWidth / 4);
int y1 = noseRect.Y + noseRect.Height - (mustacheHeight / 2);
int y2 = noseRect.Y + noseRect.Height + (mustacheHeight / 2);
// draw the mustache
g.DrawImage(mustache, x1, y1, x2 - x1, y2 - y1);
}
}
public static void ObjectDetection(ref Bitmap image)
{
Bitmap objectsImage = null;
Bitmap mImage = (Bitmap)image.Clone();
eulideanColorFilter.CenterColor = Color.FromArgb(FilterColor.ToArgb());
eulideanColorFilter.Radius = (short)Range;
objectsImage = image;
eulideanColorFilter.ApplyInPlace(objectsImage);
// lock image for further processing
BitmapData objectsData = objectsImage.LockBits(new Rectangle(0, 0, image.Width, image.Height), ImageLockMode.ReadOnly, image.PixelFormat);
// grayscaling
UnmanagedImage grayImage = grayscaleFilter.Apply(new UnmanagedImage(objectsData));
// unlock image
objectsImage.UnlockBits(objectsData);
// locate blobs
BlobCounterFilter.ProcessImage(grayImage);
Rectangle[] rects = BlobCounterFilter.GetObjectRectangles();
if (rects.Length > 0)
{
foreach (Rectangle objectRect in rects)
{
// draw rectangle around derected object
Graphics g = Graphics.FromImage(mImage);
using (Pen pen = new Pen(Color.FromArgb(160, 255, 160), 5))
{
g.DrawRectangle(pen, objectRect);
}
g.Dispose();
}
}
image = mImage;
}
private void segmentationToolStripMenuItem_Click(object sender, EventArgs e)
{
Grayscale grayscale = new GrayscaleBT709();
grayimage = grayscale.Apply(original);
pictureBox2.Image = grayimage;
Threshold bw = new Threshold();
thresholdimage = bw.Apply(grayimage);
pictureBox2.Image = thresholdimage;
// ResizeBicubic resize = new ResizeBicubic(200, thresholdimage.Height);
// thresholdimage = resize.Apply(thresholdimage);
List <int> xC = new List <int> ();
int xPrev = 0;
for (int i = 0; i < thresholdimage.Width; i++)
{
count = 0;
for (int j = 0; j < thresholdimage.Height; j++)
{
Color p = thresholdimage.GetPixel(i, j);
if (p.R == 0 && p.G == 0 && p.B == 0)
{
count++;
}
}
if (count != 0)
{
if (xC.Count == 0)
{
xC.Add(i);
}
else
{
if (i - xPrev > 1)
{
xC.Add(i);
}
}
xPrev = i;
}
}
List <Bitmap> ni = new List <Bitmap>();
for (int i = 0; i < xC.Count; i++)
{
int endbound;
if (i + 1 >= xC.Count)
{
endbound = thresholdimage.Width;
}
else
{
endbound = xC[i + 1];
}
Crop cr = new Crop(new Rectangle(xC[i], 0, endbound - xC[i], thresholdimage.Height));
newImage = cr.Apply(thresholdimage);
ni.Add(newImage);
pictureBox4.Image = newImage;
// newImage.Save(@"C:\users\rahul\desktop\sampleImage.png");
}
Invert inv = new Invert();
invertimage = inv.Apply(newImage);
pictureBox5.Image = invertimage;
ExtractBiggestBlob ebb = new ExtractBiggestBlob();
blobimage = ebb.Apply(invertimage);
pictureBox5.Image = blobimage;
Invert inv1 = new Invert();
invertimage1 = inv1.Apply(blobimage);
pictureBox5.Image = invertimage1;
List <int> yC = new List <int>();
int xPrev1 = 0;
for (int j = 0; j < thresholdimage.Height; j++)
{
count = 0;
for (int i = 0; i < thresholdimage.Width; i++)
{
Color p = thresholdimage.GetPixel(i, j);
if (p.R == 0 && p.G == 0 && p.B == 0)
{
count++;
}
if (count != 0)
{
if (yC.Count == 0)
{
yC.Add(j);
}
else
{
if (j - xPrev1 > 1)
{
yC.Add(j);
}
}
xPrev1 = j;
}
}
}
List <Bitmap> ni1 = new List <Bitmap>();
for (int j = 0; j < yC.Count; j++)
{
int endbound;
if (j + 1 >= yC.Count)
{
endbound = thresholdimage.Height;
}
else
{
endbound = yC[j + 1];
}
Crop cr = new Crop(new Rectangle(0, yC[j], thresholdimage.Height, endbound - yC[j]));
newImage3 = cr.Apply(thresholdimage);
ni1.Add(newImage3);
pictureBox3.Image = newImage3;
// newImage.Save(@"C:\users\rahul\desktop\sampleImage1.png");
}
Invert inv2 = new Invert();
invertimage3 = inv2.Apply(newImage3);
pictureBox6.Image = invertimage3;
ExtractBiggestBlob ebb1 = new ExtractBiggestBlob();
blobimage1 = ebb1.Apply(invertimage3);
pictureBox6.Image = blobimage1;
Invert inv3 = new Invert();
invertimage2 = inv3.Apply(blobimage1);
pictureBox6.Image = invertimage2;
}
private void resultGestureToolStripMenuItem_Click(object sender, EventArgs e)
{
int dir;
int no;
List <string> filedir = new List <string>(Directory.GetDirectories(path));
for (dir = 0, no = 0; (dir < filedir.Count && no <= 26); dir++, no++)
{
string[] filePaths = Directory.GetFiles(filedir[dir].ToString());
List <Bitmap> y = new List <Bitmap>();
foreach (var iI in filePaths)
{
Bitmap Image = new Bitmap(iI);
y.Add(Image);
}
foreach (Bitmap img in y)
{
pictureBox1.Image = img;
srcImg = img;
dstImg = img;
Bitmap skin = new Bitmap(pictureBox1.Image);
var rect = new Rectangle(0, 0, skin.Width, skin.Height);
var data = skin.LockBits(rect, ImageLockMode.ReadWrite, skin.PixelFormat);
var depth = Bitmap.GetPixelFormatSize(data.PixelFormat) / 8; //bytes per pixel
var buffer = new byte[data.Width * data.Height * depth];
//copy pixels to buffer
Marshal.Copy(data.Scan0, buffer, 0, buffer.Length);
System.Threading.Tasks.Parallel.Invoke(
() =>
{
//upper-left
Process(buffer, 0, 0, data.Width / 2, data.Height / 2, data.Width, depth);
},
() =>
{
//upper-right
Process(buffer, data.Width / 2, 0, data.Width, data.Height / 2, data.Width, depth);
},
() =>
{
//lower-left
Process(buffer, 0, data.Height / 2, data.Width / 2, data.Height, data.Width, depth);
},
() =>
{
//lower-right
Process(buffer, data.Width / 2, data.Height / 2, data.Width, data.Height, data.Width, depth);
}
);
//Copy the buffer back to image
Marshal.Copy(buffer, 0, data.Scan0, buffer.Length);
skin.UnlockBits(data);
pictureBox2.Image = skin;
Bitmap src = new Bitmap(pictureBox1.Image);
Bitmap res = new Bitmap(pictureBox2.Image);
src = resize(src, new Size(200, 200));
res = resize(res, new Size(200, 200));
pictureBox1.Image = src;
pictureBox2.Image = res;
GrayscaleBT709 grayoject = new GrayscaleBT709();
pictureBox2.Image = grayoject.Apply((Bitmap)pictureBox2.Image);
Dilatation filter = new Dilatation();
// apply the filter
pictureBox2.Image = filter.Apply((Bitmap)pictureBox2.Image);
ExtractBiggestBlob filter1 = new ExtractBiggestBlob();
pictureBox2.Image = filter.Apply((Bitmap)pictureBox2.Image);
blob = filter1.BlobPosition;
Bitmap src1 = new Bitmap(pictureBox1.Image);
Bitmap res1 = new Bitmap(pictureBox2.Image);
Bitmap newBmp = new Bitmap(src1.Width, res1.Height, System.Drawing.Imaging.PixelFormat.Format32bppArgb);
//Threshold t = new Threshold();
//pictureBox2.Image = t.Apply((Bitmap)pictureBox2.Image);
for (int i = 0; i < res1.Width; i++)
{
for (int j = 0; j < res1.Height; j++)
{
System.Drawing.Color srcColor = src1.GetPixel(i + blob.X, j + blob.Y);
System.Drawing.Color dstColor = res1.GetPixel(i, j);
if (!(dstColor.R >= 0 && dstColor.R <= 10 && dstColor.G >= 0 && dstColor.G <= 10 && dstColor.B >= 0 && dstColor.B <= 10))
{
newBmp.SetPixel(i, j, srcColor);
}
else
{
newBmp.SetPixel(i, j, Color.Black);
}
}
}
res1 = newBmp;
pictureBox2.Image = newBmp;
List <double> edgeCount = new List <double>();
List <double> ratio = new List <double>();
int pixelCount = 0;
Bitmap Destimg = new Bitmap(pictureBox2.Image);
GrayscaleBT709 go = new GrayscaleBT709();
pictureBox2.Image = go.Apply((Bitmap)pictureBox2.Image);
Destimg = go.Apply(Destimg);
CannyEdgeDetector filter2 = new CannyEdgeDetector(0, 0, 1.4);
pictureBox2.Image = filter2.Apply((Bitmap)pictureBox2.Image);
Destimg = filter2.Apply(Destimg);
var imgarray = new System.Drawing.Image[36];
for (int i = 0; i < 6; i++)
{
for (int j = 0; j < 6; j++)
{
pixelCount++;
var index = i * 6 + j;
imgarray[index] = new Bitmap(40, 40);
var graphics = Graphics.FromImage(imgarray[index]);
graphics.DrawImage(Destimg, new Rectangle(0, 0, 40, 40), new Rectangle(i * 40, j * 40, 40, 40), GraphicsUnit.Pixel);
graphics.Dispose();
}
}
for (int n = 0; n < 36; n++)
{
int counter = 0;
Bitmap bufferImage = new Bitmap(imgarray[n]);
for (int i = 0; i < 40; i++)
{
for (int j = 0; j < 40; j++)
{
System.Drawing.Color hoefColor = bufferImage.GetPixel(i, j);
//if(hoefColor.R<=255 && hoefColor.R>=230 && hoefColor.G <= 255 && hoefColor.G >= 230 && hoefColor.B <= 255 && hoefColor.B >= 230)
if (!(hoefColor.R == 0 && hoefColor.G == 0 && hoefColor.B == 0))
{
counter++;
}
}
}
edgeCount.Add(counter);
}
double total = edgeCount.Sum();
foreach (double x in edgeCount)
{
var a = (float)x / total;
ratio.Add(a);
}
FileStream fs = new FileStream(@"D:\AI.txt", FileMode.Append, FileAccess.Write);
StreamWriter sw = new StreamWriter(fs);
sw.Write((no) + " ");
for (int i = 0; i < ratio.Count; ++i)
{
sw.Write(i + ":" + ratio[i].ToString() + " ");
}
sw.WriteLine();
sw.Close();
fs.Close();
Problem train = Problem.Read(@"D:\AI.txt");
Problem test = Problem.Read(@"D:\test.txt");
Parameter parameters = new Parameter();
double C;
double Gamma;
parameters.C = 32; parameters.Gamma = 8;
Model model = Training.Train(train, parameters);
Prediction.Predict(test, @"D:\result.txt", model, false);
}
}
}
private void hOGToolStripMenuItem_Click(object sender, EventArgs e)
{
List <double> edgeCount = new List <double>();
List <double> ratio = new List <double>();
int pixelCount = 0;
Bitmap Destimg = new Bitmap(pictureBox2.Image);
GrayscaleBT709 go = new GrayscaleBT709();
pictureBox2.Image = go.Apply((Bitmap)pictureBox2.Image);
Destimg = go.Apply(Destimg);
CannyEdgeDetector filter = new CannyEdgeDetector(0, 0, 1.4);
pictureBox2.Image = filter.Apply((Bitmap)pictureBox2.Image);
Destimg = filter.Apply(Destimg);
var imgarray = new System.Drawing.Image[36];
for (int i = 0; i < 6; i++)
{
for (int j = 0; j < 6; j++)
{
pixelCount++;
var index = i * 6 + j;
imgarray[index] = new Bitmap(40, 40);
var graphics = Graphics.FromImage(imgarray[index]);
graphics.DrawImage(Destimg, new Rectangle(0, 0, 40, 40), new Rectangle(i * 40, j * 40, 40, 40), GraphicsUnit.Pixel);
graphics.Dispose();
}
}
for (int n = 0; n < 36; n++)
{
int counter = 0;
Bitmap bufferImage = new Bitmap(imgarray[n]);
for (int i = 0; i < 40; i++)
{
for (int j = 0; j < 40; j++)
{
System.Drawing.Color hoefColor = bufferImage.GetPixel(i, j);
//if(hoefColor.R<=255 && hoefColor.R>=230 && hoefColor.G <= 255 && hoefColor.G >= 230 && hoefColor.B <= 255 && hoefColor.B >= 230)
if (!(hoefColor.R == 0 && hoefColor.G == 0 && hoefColor.B == 0))
{
counter++;
}
}
}
edgeCount.Add(counter);
//HistogramEqualization
/*if (File.Exists(@"D:\AI.txt"))
* {
* using (StreamWriter ssw = new StreamWriter(@"D:\AI.txt"))
* {
* ssw.Write(counter);
* //tw.WriteLine(Lists.edgeCount);
* //tw.Close();
*
*
* }
* }*/
}
double total = edgeCount.Sum();
foreach (double x in edgeCount)
{
var a = (float)x / total;
ratio.Add(a);
}
FileStream fs = new FileStream(@"D:\AI.txt", FileMode.Append, FileAccess.Write);
StreamWriter sw = new StreamWriter(fs);
for (int i = 0; i < ratio.Count; ++i)
{
sw.Write(i + ":" + ratio[i].ToString() + " ");
}
sw.WriteLine();
sw.Close();
fs.Close();
}