Connected components labeling.
The filter performs labeling of objects in the source image. It colors each separate object using different color. The image processing filter treats all none black pixels as objects' pixels and all black pixel as background.
The filter accepts 8 bpp grayscale images and 24/32 bpp color images and produces 24 bpp RGB image.
Sample usage:
// create filter ConnectedComponentsLabeling filter = new ConnectedComponentsLabeling( ); // apply the filter Bitmap newImage = filter.Apply( image ); // check objects count int objectCount = filter.ObjectCount; Initial image:
Result image:
/// <summary>
/// Lable Connected Components of the scan, Identify unique objects
/// </summary>
/// <param name="image">The mask</param>
/// <returns>A color coded bitmap showing each object in its own color</returns>
public static int LabelConnectedComponents(ref Bitmap image)
{
AForge.Imaging.Filters.ConnectedComponentsLabeling filter = new AForge.Imaging.Filters.ConnectedComponentsLabeling();
//and apply!
image = filter.Apply(image);
//return object count
return(filter.ObjectCount);
}
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);
}
}
}
/// <summary>
/// Lable Connected Components of the scan, Identify unique objects
/// </summary>
/// <param name="image">The mask</param>
/// <returns>A color coded bitmap showing each object in its own color</returns>
public static int LabelConnectedComponents(ref Bitmap image)
{
AForge.Imaging.Filters.ConnectedComponentsLabeling filter = new AForge.Imaging.Filters.ConnectedComponentsLabeling();
//and apply!
image = filter.Apply(image);
//return object count
return filter.ObjectCount;
}
private void cameraTask_Completed(object sender, PhotoResult e)
{
if (e.TaskResult == TaskResult.OK)
{
BitmapImage bmp = new BitmapImage();
bmp.SetSource(e.ChosenPhoto);
bmp.ImageOpened += ImageOpenedTrue;
//imgPreview.Source = bmp;
//bmp.DecodePixelHeight = 460;
//Height="460" Margin="10,10,0,0" VerticalAlignment="Top" Width="684">
WriteableBitmap wbmp = new WriteableBitmap(bmp);
//txtImage.Text = "Korkeus: " + wbmp.PixelHeight + " Leveys: " + wbmp.PixelWidth;
Bitmap image = (Bitmap)wbmp;
//AForge.Imaging.Filters.Grayscale
//Grayscale gs = new Grayscale(
// create filter
ResizeNearestNeighbor filter = new ResizeNearestNeighbor(700, 480);
// apply the filter
Bitmap resizeImage = filter.Apply(image);
txtImage.Text = "Korkeus: " + resizeImage.Height + " Leveys: " + resizeImage.Width;
// create grayscale filter (BT709)
Grayscale GSfilter = new Grayscale(0.2125, 0.7154, 0.0721);
// apply the filter
Bitmap grayImage = GSfilter.Apply(resizeImage);
// create filter
Threshold BIfilter = new Threshold(70);
// apply the filter
BIfilter.ApplyInPlace(grayImage);
// create filter
Invert Invertfilter = new Invert();
// apply the filter
Invertfilter.ApplyInPlace(grayImage);
AForge.Imaging.Filters.ConnectedComponentsLabeling Blobfilter = new AForge.Imaging.Filters.ConnectedComponentsLabeling();
Bitmap newImage = Blobfilter.Apply(grayImage);
BlobCounter blobCounter = new BlobCounter(newImage);
blobCounter.FilterBlobs = true;
blobCounter.MinWidth = 5;
blobCounter.MinHeight = 5;
Blob[] blobs = blobCounter.GetObjectsInformation();
gos = new List <GameObject>();
List <Blob> blobList = blobs.ToList();
PointCollection extremePoints = new PointCollection();
System.Windows.Shapes.Rectangle r = new System.Windows.Shapes.Rectangle();
PointCollection edges;
List <AForge.IntPoint> lst;
List <int[]> intlist = new List <int[]>();
GameObject go = new GameObject();
foreach (Blob b in blobs)
{
lst = blobCounter.GetBlobsEdgePoints(b);
edges = new PointCollection();
foreach (AForge.IntPoint p in lst)
{
edges.Add(new System.Windows.Point(p.X, p.Y));
}
/*
* extremePoints.Add(new System.Windows.Point(b.Rectangle.X, b.Rectangle.Y));
* extremePoints.Add(new System.Windows.Point(b.Rectangle.X+b.Rectangle.Width, b.Rectangle.Y));
* extremePoints.Add(new System.Windows.Point(b.Rectangle.X, b.Rectangle.Y+b.Rectangle.Height));
* extremePoints.Add(new System.Windows.Point(b.Rectangle.X + b.Rectangle.Width, b.Rectangle.Y + b.Rectangle.Height));
* */
gos.Add(new GameObject(b.Rectangle.Y, b.Rectangle.X, b.Rectangle.Width, b.Rectangle.Height, edges)); // x ja y käännettynä, jotta lopullisessa mallissa suunnat oikein.
//GameObject go = new GameObject(
//extremePoints.Clear();
//edges.Clear();
}
//Serialize("LevelName.bin", gos);
//SaveToLocalFolderAsync(e.ChosenPhoto, "LevelNameBG.jpg");
//writeJsonAsync();
fileName = txtBoxLevelName.Text;
jsonWrite(fileName);
WriteableBitmap wb;
wb = (WriteableBitmap)resizeImage;
using (IsolatedStorageFile iso = IsolatedStorageFile.GetUserStoreForApplication())
{
if (iso.FileExists(fileName + "_bg.jpg"))
{
iso.DeleteFile(fileName + "_bg.jpg");
}
using (IsolatedStorageFileStream isostream = iso.CreateFile(fileName + "_bg.jpg"))
{
Extensions.SaveJpeg(wb, isostream, wb.PixelWidth, wb.PixelHeight, 0, 85);
isostream.Close();
}
}
//Rectangle[] rects = blobCounter.GetObjectsRectangles();
//txtImage.Text = txtImage.Text + "Number of rectangles:+ " + rects.Length;
wbmp = (WriteableBitmap)newImage;
imgImage.Source = wbmp;
// BY PIXEL
/*
* foreach (int pix in wbmp.Pixels)
* {
* int a = pix >> 24;
* int r = (pix & 0x00ff0000) >> 16;
* int g = (pix & 0x0000ff00) >> 8;
* int b = (pix & 0x000000ff);
* Color c = new Color(r, g, b, a);
* int intensity = (int)(c.R * 0.3 + c.G * 0.59 + c.B * 0.11);
* if (intensity > 127) ; // BLACK / SOLID
* else ; // WHITE / NON-SOLID
* }*/
//byte[] baLevel = CustomConvertToBytes(bmp);
/*
* WriteableBitmap wbmp = new WriteableBitmap(bmp as BitmapSource);
* imgPreview.Source = wbmp;*/
}
}
private void cameraTask_Completed(object sender, PhotoResult e)
{
if (e.TaskResult == TaskResult.OK)
{
BitmapImage bmp = new BitmapImage();
bmp.SetSource(e.ChosenPhoto);
bmp.ImageOpened += ImageOpenedTrue;
//imgPreview.Source = bmp;
//bmp.DecodePixelHeight = 460;
//Height="460" Margin="10,10,0,0" VerticalAlignment="Top" Width="684">
WriteableBitmap wbmp = new WriteableBitmap(bmp);
//txtImage.Text = "Korkeus: " + wbmp.PixelHeight + " Leveys: " + wbmp.PixelWidth;
Bitmap image = (Bitmap)wbmp;
//AForge.Imaging.Filters.Grayscale
//Grayscale gs = new Grayscale(
// create filter
ResizeNearestNeighbor filter = new ResizeNearestNeighbor(700, 480);
// apply the filter
Bitmap resizeImage = filter.Apply(image);
txtImage.Text = "Korkeus: " + resizeImage.Height + " Leveys: " + resizeImage.Width;
// create grayscale filter (BT709)
Grayscale GSfilter = new Grayscale(0.2125, 0.7154, 0.0721);
// apply the filter
Bitmap grayImage = GSfilter.Apply(resizeImage);
// create filter
Threshold BIfilter = new Threshold(70);
// apply the filter
BIfilter.ApplyInPlace(grayImage);
// create filter
Invert Invertfilter = new Invert();
// apply the filter
Invertfilter.ApplyInPlace(grayImage);
AForge.Imaging.Filters.ConnectedComponentsLabeling Blobfilter = new AForge.Imaging.Filters.ConnectedComponentsLabeling();
Bitmap newImage = Blobfilter.Apply(grayImage);
BlobCounter blobCounter = new BlobCounter(newImage);
blobCounter.FilterBlobs = true;
blobCounter.MinWidth = 5;
blobCounter.MinHeight = 5;
Blob[] blobs = blobCounter.GetObjectsInformation();
gos = new List<GameObject>();
List<Blob> blobList = blobs.ToList();
PointCollection extremePoints = new PointCollection();
System.Windows.Shapes.Rectangle r = new System.Windows.Shapes.Rectangle();
PointCollection edges;
List<AForge.IntPoint> lst;
List<int[]> intlist = new List<int[]>();
GameObject go = new GameObject();
foreach (Blob b in blobs)
{
lst = blobCounter.GetBlobsEdgePoints(b);
edges = new PointCollection();
foreach (AForge.IntPoint p in lst)
{
edges.Add(new System.Windows.Point(p.X, p.Y));
}
/*
extremePoints.Add(new System.Windows.Point(b.Rectangle.X, b.Rectangle.Y));
extremePoints.Add(new System.Windows.Point(b.Rectangle.X+b.Rectangle.Width, b.Rectangle.Y));
extremePoints.Add(new System.Windows.Point(b.Rectangle.X, b.Rectangle.Y+b.Rectangle.Height));
extremePoints.Add(new System.Windows.Point(b.Rectangle.X + b.Rectangle.Width, b.Rectangle.Y + b.Rectangle.Height));
* */
gos.Add(new GameObject(b.Rectangle.Y,b.Rectangle.X,b.Rectangle.Width,b.Rectangle.Height,edges)); // x ja y käännettynä, jotta lopullisessa mallissa suunnat oikein.
//GameObject go = new GameObject(
//extremePoints.Clear();
//edges.Clear();
}
//Serialize("LevelName.bin", gos);
//SaveToLocalFolderAsync(e.ChosenPhoto, "LevelNameBG.jpg");
//writeJsonAsync();
fileName = txtBoxLevelName.Text;
jsonWrite(fileName);
WriteableBitmap wb;
wb = (WriteableBitmap)resizeImage;
using (IsolatedStorageFile iso = IsolatedStorageFile.GetUserStoreForApplication())
{
if (iso.FileExists(fileName+"_bg.jpg"))
{
iso.DeleteFile(fileName+"_bg.jpg");
}
using (IsolatedStorageFileStream isostream = iso.CreateFile(fileName+"_bg.jpg"))
{
Extensions.SaveJpeg(wb, isostream, wb.PixelWidth, wb.PixelHeight, 0, 85);
isostream.Close();
}
}
//Rectangle[] rects = blobCounter.GetObjectsRectangles();
//txtImage.Text = txtImage.Text + "Number of rectangles:+ " + rects.Length;
wbmp = (WriteableBitmap)newImage;
imgImage.Source = wbmp;
// BY PIXEL
/*
foreach (int pix in wbmp.Pixels)
{
int a = pix >> 24;
int r = (pix & 0x00ff0000) >> 16;
int g = (pix & 0x0000ff00) >> 8;
int b = (pix & 0x000000ff);
Color c = new Color(r, g, b, a);
int intensity = (int)(c.R * 0.3 + c.G * 0.59 + c.B * 0.11);
if (intensity > 127) ; // BLACK / SOLID
else ; // WHITE / NON-SOLID
}*/
//byte[] baLevel = CustomConvertToBytes(bmp);
/*
WriteableBitmap wbmp = new WriteableBitmap(bmp as BitmapSource);
imgPreview.Source = wbmp;*/
}
}
public void MagiCalc(double sensor)
{
// get image from LiveView
LiveViewData = SelectedCameraDevice.GetLiveViewImage();
MemoryStream stream = new MemoryStream(LiveViewData.ImageData,
LiveViewData.
ImageDataPosition,
LiveViewData.ImageData.
Length -
LiveViewData.
ImageDataPosition);
using (var tempImage = new Bitmap(stream))
{
Bitmap bmp = tempImage;
var preview = BitmapFactory.ConvertToPbgra32Format(
BitmapSourceConvert.ToBitmapSource(bmp));
Bitmap binaryimage = bmp;
// binarize the image to BinaryImage
short[,] se = new short[,] {
{ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 },
{ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 },
{ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 },
{ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 },
{ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 },
{ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 },
{ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 },
{ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 },
{ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 },
{ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 },
{ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 }
};
var filter = new FiltersSequence(
Grayscale.CommonAlgorithms.BT709,
new Threshold(100),
new Closing(se),
new Opening(se),
new Opening(se),
new Opening(se),
new Invert()
);
binaryimage = filter.Apply(bmp);
// Pass ConnectedComponentsLabeling Filter
WriteableBitmap writeableBitmap;
// Pass ConnectedComponentsLabeling Filter
ConnectedComponentsLabeling filter2 = new ConnectedComponentsLabeling();
writeableBitmap = BitmapFactory.ConvertToPbgra32Format(BitmapSourceConvert.ToBitmapSource(filter2.Apply(binaryimage)));
// Check objects count
int objectCount = filter2.ObjectCount;
StepperManager.Instance.LinesNumber = objectCount;
writeableBitmap.Freeze();
ColorBitmapSource = writeableBitmap;
// Calc Magnification
double one_one;
one_one = 59 * sensor;
double _magni;
_magni = one_one / (objectCount);
double _Magni = Math.Round(_magni, 1, MidpointRounding.AwayFromZero); //Rounds"up"
StepperManager.Instance.Magni = _Magni;
}
return;
}
void webcam_ImageCaptured_Back(object source, WebcamEventArgs e)
{
_FrameImage.Image = e.WebCamImage;
Bitmap MaskImage = new Bitmap(640, 480);
if (backgroundFrame == null)
{
Frames2Ignore--;
if (Frames2Ignore == 0)
{
backgroundFrame = (Bitmap)e.WebCamImage;
backgroundFrameGray = grayscaleFilter.Apply(backgroundFrame);
}
return;
}
//Save curent image
CurrentFrame = (Bitmap)e.WebCamImage;
CurrentFrameGray = grayscaleFilter.Apply(CurrentFrame);
/*
// create filter
IFilter pixellateFilter = new Pixellate();
// apply the filter
backgroundFrame = pixellateFilter.Apply(backgroundFrame);
backgroundFrameGray = grayscaleFilter.Apply(backgroundFrame);
CurrentFrame = pixellateFilter.Apply(CurrentFrame);
CurrentFrameGray = grayscaleFilter.Apply(CurrentFrame);*/
MoveTowards moveTowardsFilter = new MoveTowards();
moveTowardsFilter.OverlayImage = CurrentFrameGray;
// move background towards current frame
Bitmap tmp = moveTowardsFilter.Apply(backgroundFrameGray);
// dispose old background
backgroundFrame.Dispose();
backgroundFrame = tmp;
// create processing filters sequence
FiltersSequence processingFilter = new FiltersSequence();
processingFilter.Add(new Difference(backgroundFrameGray));
processingFilter.Add(new Threshold(15));
processingFilter.Add(new Opening());
processingFilter.Add(new Edges());
processingFilter.Add(new DifferenceEdgeDetector());
// apply the filter
Bitmap tmp1 = processingFilter.Apply(CurrentFrameGray);
// extract red channel from the original image
IFilter extrachChannel = new ExtractChannel(RGB.R);
Bitmap redChannel = extrachChannel.Apply(backgroundFrame);
// merge red channel with moving object borders
Merge mergeFilter = new Merge();
mergeFilter.OverlayImage = tmp1;
Bitmap tmp2 = mergeFilter.Apply(redChannel);
// replace red channel in the original image
ReplaceChannel replaceChannel = new ReplaceChannel(RGB.R,tmp2);
replaceChannel.ChannelImage = tmp2;
Bitmap tmp3 = replaceChannel.Apply(backgroundFrame);
ConnectedComponentsLabeling CCL = new ConnectedComponentsLabeling();
CCL.MinWidth = 75;
CCL.MinHeight = 75;
CCL.CoupledSizeFiltering = true;
Bitmap tmp4 = CCL.Apply(tmp1);
blobCounter.MinHeight = 75;
blobCounter.MinWidth = 75;
blobCounter.CoupledSizeFiltering = true;
blobCounter.ProcessImage(tmp1);
Blob[] blobs = blobCounter.GetObjects(tmp1);
int maxSize = 0;
Blob maxObject = new Blob(0, new Rectangle(0, 0, 0, 0));
// find biggest blob
Bitmap Masked = new Bitmap(320, 240);
if (blobs != null)
{
foreach (Blob blob in blobs)
{
int blobSize = blob.Rectangle.Width * blob.Rectangle.Height;
if (blobSize > maxSize)
{
maxSize = blobSize;
maxObject = blob;
}
}
for (int i = maxObject.Rectangle.Left; i < maxObject.Rectangle.Right; i++)
{
for (int j = maxObject.Rectangle.Top; j < maxObject.Rectangle.Bottom; j++)
{
Masked.SetPixel(i, j, maxObject.Image.GetPixel(i - maxObject.Rectangle.Left, j - maxObject.Rectangle.Top));
}
}
}
/*Bitmap Hor = new Bitmap(320, 240);
Bitmap Ver = new Bitmap(320, 240);
if (maxSize > 150)
{
AForge.Imaging.VerticalIntensityStatistics VIS = new VerticalIntensityStatistics(tmp1);
int[] HistVer = VIS.Gray.Values;
AForge.Imaging.HorizontalIntensityStatistics HIS = new HorizontalIntensityStatistics(tmp1);
int[] HistHor = HIS.Gray.Values;
for (int x=0;x<320;x++)
for (int y = 0; y < 240; y++)
{
Hor.SetPixel(x, y, Color.White);
Ver.SetPixel(x, y, Color.White);
}
int Imax = -1, Max = -1;
for (int i = 0; i < HistHor.Length; i++)
{
for (int y = 0; y < ((double)(HistHor[i]) / 255) ; y++)
Hor.SetPixel(i, y, Color.Black);
if (HistHor[i] > 0)
{
Imax = i;
Max = HistHor[i];
}
}
int ImaxY = -1, MaxY = -1;
for (int i = 0; i < HistVer.Length; i++)
{
for (int x = 0; x < ((double)(HistVer[i]) / 255) ; x++)
Ver.SetPixel(x, i, Color.Black);
if (HistVer[i] > MaxY)
{
ImaxY = i;
MaxY = HistVer[i];
}
}
}
*/
/* blobCounter.MinHeight = 75;
blobCounter.MinWidth = 75;
blobCounter.CoupledSizeFiltering = true;
blobCounter.ProcessImage(tmp1);
Blob[] blobs = blobCounter.GetObjects(tmp1);
int maxSize = 0;
Blob maxObject = new Blob(0, new Rectangle(0, 0, 0, 0));
// find biggest blob
if (blobs != null)
{
foreach (Blob blob in blobs)
{
int blobSize = blob.Rectangle.Width * blob.Rectangle.Height;
if (blobSize > maxSize)
{
maxSize = blobSize;
maxObject = blob;
}
}
if (maxObject.Rectangle.Height > 90 && maxObject.Rectangle.Width > 30)
{
AForge.Imaging.VerticalIntensityStatistics VIS = new VerticalIntensityStatistics(maxObject.Image);
int[] HistVer = VIS.Gray.Values;
AForge.Imaging.HorizontalIntensityStatistics HIS = new HorizontalIntensityStatistics(maxObject.Image);
int[] HistHor = HIS.Gray.Values;
int Imax = -1, Max = -1;
for (int i = 0; i < HistHor.Length; i++)
{
if (HistHor[i] > 0)
{
Imax = i;
Max = HistHor[i];
break;
}
}
int ImaxY = -1, MaxY = -1;
for (int i = 0; i < HistVer.Length; i++)
{
if (HistVer[i] > MaxY)
{
ImaxY = i;
MaxY = HistVer[i];
}
}
//Imax = 0;
ImaxY = 0;
Console.WriteLine("X={0},Y={1}", maxObject.Rectangle.X, maxObject.Rectangle.Y);
if (eChangedCursorEvent != null && maxSize != 0)
eChangedCursorEvent(maxObject.Rectangle.X + Imax, maxObject.Rectangle.Y + ImaxY);
LastX = maxObject.Rectangle.X;
LastY = maxObject.Rectangle.Y;
}*/
/*else if (LastX != -1 && LastY != -1 && maxSize > 0)
{
//Calc distance from LastX,LastY
double distX = System.Math.Pow(maxObject.Rectangle.X - LastX, 2);
double distY = System.Math.Pow(maxObject.Rectangle.Y - LastY, 2);
double dist = System.Math.Pow(distX + distY, 0.5);
if (dist < 15)
{
Console.WriteLine("X={0},Y={1}", maxObject.Rectangle.X, maxObject.Rectangle.Y);
if (eChangedCursorEvent != null && maxSize != 0)
eChangedCursorEvent(maxObject.Rectangle.X, maxObject.Rectangle.Y);
LastX = maxObject.Rectangle.X;
LastY = maxObject.Rectangle.Y;
}
else
{
LastX = -1;
LastY = -1;
}
}
else
{
LastX = -1;
LastY = -1;
}*/
//}
_CaptureImage.Image = maxObject.Image;
//_CaptureImage.Image = tmp3;
_CaptureImage2.Image = tmp4;
backgroundFrame = (Bitmap)e.WebCamImage;
backgroundFrameGray = grayscaleFilter.Apply(backgroundFrame);
}