public static void ExtractRegionImages1(Bitmap frame1, Bitmap frame2)
{
frame1 = greyscaleFilter1.Apply(frame1);
frame2 = greyscaleFilter1.Apply(frame2);
lock (_lock1)
{
cropFilter1.Rectangle = Region1;
ROI1 = circleFilter2.Apply(resizeFilter1.Apply(cropFilter1.Apply(frame1)));
diffFilter1.OverlayImage = circleFilter2.Apply(resizeFilter1.Apply(cropFilter1.Apply(frame2)));
ROI1Diff = diffFilter1.Apply(ROI1);
subFilter1.OverlayImage = invertFilter1.Apply(threshFilter1.Apply(ROI1Diff));
ROI1DropDiff = subFilter1.Apply(ROI1Diff);
cropFilter1.Rectangle = Region2;
ROI2 = circleFilter2.Apply(resizeFilter1.Apply(cropFilter1.Apply(frame1)));
diffFilter1.OverlayImage = circleFilter2.Apply(resizeFilter1.Apply(cropFilter1.Apply(frame2)));
ROI2Diff = diffFilter1.Apply(ROI2);
subFilter1.OverlayImage = invertFilter1.Apply(threshFilter1.Apply(ROI2Diff));
ROI2DropDiff = subFilter1.Apply(ROI2Diff);
cropFilter1.Rectangle = Region5;
ROI5 = circleFilter2.Apply(resizeFilter1.Apply(cropFilter1.Apply(frame1)));
diffFilter1.OverlayImage = circleFilter2.Apply(resizeFilter1.Apply(cropFilter1.Apply(frame2)));
ROI5Diff = diffFilter1.Apply(ROI5);
subFilter1.OverlayImage = invertFilter1.Apply(threshFilter1.Apply(ROI5Diff));
ROI5DropDiff = subFilter1.Apply(ROI5Diff);
cropFilter1.Rectangle = Region6;
ROI6 = circleFilter2.Apply(resizeFilter1.Apply(cropFilter1.Apply(frame1)));
diffFilter1.OverlayImage = circleFilter2.Apply(resizeFilter1.Apply(cropFilter1.Apply(frame2)));
ROI6Diff = diffFilter1.Apply(ROI6);
subFilter1.OverlayImage = invertFilter1.Apply(threshFilter1.Apply(ROI6Diff));
ROI6DropDiff = subFilter1.Apply(ROI6Diff);
}
}
public static void ExtractRegionsDevice2(Bitmap frame1, Bitmap frame2)
{
frame1 = greyscaleFilter2.Apply(frame1);
frame2 = greyscaleFilter2.Apply(frame2);
lock (_lock2)
{
cropFilter2.Rectangle = Region3;
ROI3 = circleFilter2.Apply(resizeFilter2.Apply(cropFilter2.Apply(frame1)));
diffFilter2.OverlayImage = circleFilter2.Apply(resizeFilter2.Apply(cropFilter2.Apply(frame2)));
ROI3Diff = diffFilter2.Apply(ROI3);
subFilter2.OverlayImage = invertFilter2.Apply(threshFilter2.Apply(ROI3Diff));
ROI3DropDiff = subFilter2.Apply(ROI3Diff);
cropFilter2.Rectangle = Region4;
ROI4 = circleFilter2.Apply(resizeFilter2.Apply(cropFilter2.Apply(frame1)));
diffFilter2.OverlayImage = circleFilter2.Apply(resizeFilter2.Apply(cropFilter2.Apply(frame2)));
ROI4Diff = diffFilter2.Apply(ROI4);
subFilter2.OverlayImage = invertFilter2.Apply(threshFilter2.Apply(ROI4Diff));
ROI4DropDiff = subFilter2.Apply(ROI4Diff);
cropFilter2.Rectangle = Region7;
ROI7 = circleFilter2.Apply(resizeFilter2.Apply(cropFilter2.Apply(frame1)));
diffFilter2.OverlayImage = circleFilter2.Apply(resizeFilter2.Apply(cropFilter2.Apply(frame2)));
ROI7Diff = diffFilter2.Apply(ROI7);
subFilter2.OverlayImage = invertFilter2.Apply(threshFilter2.Apply(ROI7Diff));
ROI7DropDiff = subFilter2.Apply(ROI7Diff);
cropFilter2.Rectangle = Region8;
ROI8 = circleFilter2.Apply(resizeFilter2.Apply(cropFilter2.Apply(frame1)));
diffFilter2.OverlayImage = circleFilter2.Apply(resizeFilter2.Apply(cropFilter2.Apply(frame2)));
ROI8Diff = diffFilter2.Apply(ROI8);
subFilter2.OverlayImage = invertFilter2.Apply(threshFilter2.Apply(ROI8Diff));
ROI8DropDiff = subFilter2.Apply(ROI8Diff);
}
}
private Bitmap XXX(Bitmap bmpBefore, Bitmap bmpAfter)
{
var filter = new Grayscale(0.2125, 0.7154, 0.0721);
bmpBefore = filter.Apply(bmpBefore);
bmpAfter = filter.Apply(bmpAfter);
// create filters
var differenceFilter = new Difference();
IFilter thresholdFilter = new Threshold(15);
// set backgroud frame as an overlay for difference filter
differenceFilter.OverlayImage = bmpBefore;
// apply the filters
Bitmap tmp1 = differenceFilter.Apply(bmpAfter);
Bitmap tmp2 = thresholdFilter.Apply(tmp1);
IFilter erosionFilter = new Erosion();
// apply the filter
Bitmap tmp3 = erosionFilter.Apply(tmp2);
IFilter pixellateFilter = new Pixellate();
// apply the filter
Bitmap tmp4 = pixellateFilter.Apply(tmp3);
return(tmp4);
}
private void ProcessFrame()
{
//Check for preprocess filter & filter to grey
if (preFilter != null)
{
frame_pre = preFilter.Apply(frame_c);
frame_gs = gsFilter.Apply(frame_pre);
}
else
{
frame_gs = gsFilter.Apply(frame_c);
}
//Initialise Background
if (back == null)
{
back = (Bitmap)frame_gs.Clone();
}
//Process frame for motion
diffFilter.OverlayImage = back;
frame_processed = diffFilter.Apply(frame_gs);
frame_processed = motionFilter.Apply(frame_processed);
CheckMotion();
//Update Background
morphFilter.OverlayImage = frame_gs;
back = morphFilter.Apply(back);
}
/// <summary>
/// 处理(当前)画面
/// </summary>
/// <param name="image"></param>
public void ProcessFrame(ref Bitmap image)
{
if (backgroundFrame == null)
{
backgroundFrame = GrayscaleFilter.Apply(image); // create initial backgroung image
// get image dimension
width = image.Width;
height = image.Height;
// just return for the first time
return;
}
Bitmap tmpImage = GrayscaleFilter.Apply(image); //灰度过滤
// set backgroud frame as an overlay for difference filter
DifferenceFilter.OverlayImage = backgroundFrame;
Bitmap tmpImage2 = DifferenceFilter.Apply(tmpImage); //差异过滤
// lock the temporary image and apply some filters on the locked data
bitmapData = tmpImage2.LockBits(new Rectangle(0, 0, width, height),
ImageLockMode.ReadWrite, PixelFormat.Format8bppIndexed);
// threshold filter
ThresholdFilter.ApplyInPlace(bitmapData); //阈值过滤
// erosion filter
Bitmap tmpImage3 = ErosionFilter.Apply(bitmapData); //腐蚀过滤
// unlock temporary image
tmpImage2.UnlockBits(bitmapData);
tmpImage2.Dispose();
// calculate amount of changed pixels
pixelsChanged = (calculateMotionLevel) ? CalculateWhitePixels(tmpImage3) : 0;
// dispose old background
backgroundFrame.Dispose();
// set backgound to current
backgroundFrame = tmpImage;
// extract red channel from the original image
Bitmap redChannel = extrachChannel.Apply(image); //提取通道
// merge red channel with moving object
MergeFilter.OverlayImage = tmpImage3;
Bitmap tmpImage4 = MergeFilter.Apply(redChannel); //合并过滤
redChannel.Dispose();
tmpImage3.Dispose();
// replace red channel in the original image
replaceChannel.ChannelImage = tmpImage4;
Bitmap tmpImage5 = replaceChannel.Apply(image); //替换通道
tmpImage4.Dispose();
image.Dispose();
image = tmpImage5;
}
public Bitmap Difference(Bitmap leftOperand, Bitmap rightOperand)
{
ResizeBilinear resize = new ResizeBilinear(leftOperand.Width, leftOperand.Height);
rightOperand = resize.Apply(rightOperand);
Difference filter = new Difference(rightOperand);
return(filter.Apply(leftOperand));
}
private void imageSubstractToolStripMenuItem_Click(object sender, EventArgs e)
{
// filtre oluşturduk
Difference filter = new Difference((Bitmap)pictureBox6.Image);
// uyguladık
Bitmap cikarim = filter.Apply((Bitmap)pictureBox3.Image);
pictureBox7.Image = cikarim;
}
public mCompositeDifference(Bitmap UnderlayBitmap, Bitmap OverlayBitmap)
{
BitmapUnder = new mSetFormat(UnderlayBitmap, mFilter.BitmapTypes.Rgb24bpp).ModifiedBitmap;
BitmapOver = new mSetFormat(OverlayBitmap, mFilter.BitmapTypes.Rgb24bpp).ModifiedBitmap;
ModifiedBitmap = BitmapUnder;
Effect = new Difference(BitmapOver);
ModifiedBitmap = Effect.Apply(BitmapUnder);
}
private Bitmap ProcessCurrentFrame()
{
Bitmap bmp;
//curr_gs = pixelFilter.Apply(curr_gs);
if (first)
{
back = (Bitmap)curr_gs.Clone();
first = false;
}
/* Detection */
diffFilter.OverlayImage = back;
bmp = diffFilter.Apply(curr_gs);
bmp = thresholdFilter.Apply(bmp);
bmp = blobFilter.Apply(bmp);
//bmp = erosionFilter.Apply(bmp);
//bmp = openFilter.Apply(bmp);
//bmp = edgeFilter.Apply(bmp);
try
{
//blobCount.Text = blobGrabber.Apply(bmp).Size.ToString();
}
catch (Exception)
{
}
/* Transcribe to original image */
// extract red channel from the original image
//IFilter extrachChannel = new ExtractChannel(RGB.R);
//Bitmap redChannel = extrachChannel.Apply(curr_c);
// merge red channel with motion regions
//Merge mergeFilter = new Merge();
//mergeFilter.OverlayImage = bmp;
//Bitmap tmp4 = mergeFilter.Apply(redChannel);
// replace red channel in the original image
//ReplaceChannel replaceChannel = new ReplaceChannel(RGB.R,tmp4);
//curr_c = replaceChannel.Apply(curr_c);
/* Background Update */
//towardsFilter.OverlayImage = curr_gs;
//back = towardsFilter.Apply(back);
morphFilter.OverlayImage = curr_gs;
back = morphFilter.Apply(back);
return(bmp);
}
private Bitmap getTwoFrameDifference(Bitmap frame)
{
if (lastFrame == null)
{
return(null);
}
Difference filter = new Difference(lastFrame);
Bitmap differenceBitmap = filter.Apply(frame);
return(differenceBitmap);
}
private Bitmap ProcessImageDiference(Bitmap lastimg, Bitmap openingFilterImg)
{
// create filter
Difference filter = new Difference(openingFilterImg);
// apply the filter
Bitmap resultImage = filter.Apply(lastimg);
// create filter
Invert filter2 = new Invert();
// apply the filter
filter2.ApplyInPlace(resultImage);
return(resultImage);
}
int MotionDetection(Bitmap CurrentFrame)
{
if (PreFrame == null)
{
PreFrame = GrayFilter.Apply(CurrentFrame);
PixFilter.ApplyInPlace(PreFrame);
return(0);
}
Bitmap ProcFrame = GrayFilter.Apply(CurrentFrame);
PixFilter.ApplyInPlace(ProcFrame);
MoveTowardsFilter.StepSize = 1;
MoveTowardsFilter.OverlayImage = ProcFrame;
MoveTowardsFilter.ApplyInPlace(PreFrame);
DiffFilter.OverlayImage = PreFrame;
Bitmap DiffImage = DiffFilter.Apply(ProcFrame);
ThreFilter.ApplyInPlace(DiffImage);
BlobsFilter.ProcessImage(DiffImage);
Blob[] Blobs = BlobsFilter.GetObjectsInformation();
int ret = 0;
if (Blobs.Length != 0)
{
Graphics graph = Graphics.FromImage(CurrentFrame);
Pen pen = new Pen(Color.Yellow, 2);
graph.DrawRectangle(pen, new Rectangle(3, 3, 10, 10));
foreach (Blob item in Blobs)
{
if (item.Area > blobArea)
{
if (ShowMotionCheckBox.Checked)
{
graph.DrawRectangle(pen, item.Rectangle);
}
++ret;
}
}
}
videoShowPicBox.Image = CurrentFrame;
PreFrame = ProcFrame;
return(ret);
}
public static Bitmap PixelDiff(Bitmap a, Bitmap b)
{
var difference = new Difference(a);
var dif = difference.Apply(b);
gaussianBlur.ApplyInPlace(dif);
Bitmap clone = Grayscale.CommonAlgorithms.Y.Apply(dif);
threshold.ApplyInPlace(clone);
fillHoles.ApplyInPlace(clone);
return(clone);
}
static void Main(string[] args)
{
try
{
string path = "D:\\HACK2015\\PICS";
Bitmap sourceImage = AForge.Imaging.Image.FromFile(Path.Combine(path, "CAM1s.jpg"));
Difference differenceFilter = new Difference(); //AForge.Imaging.Filters.Difference
differenceFilter.OverlayImage = sourceImage;
Bitmap sourceImg = AForge.Imaging.Image.FromFile(Path.Combine(path, "CAM1.jpg"));
Bitmap tempImg = sourceImg.Clone() as Bitmap;
tempImg = differenceFilter.Apply(tempImg);
FiltersSequence seq = new FiltersSequence();
seq.Add(Grayscale.CommonAlgorithms.BT709);
seq.Add(new OtsuThreshold());
tempImg = seq.Apply(tempImg);
tempImg.Save(Path.Combine(Path.GetDirectoryName(Assembly.GetExecutingAssembly().Location), "CAM1.jpg"));
int objectCount = 0;
BlobCounter blobCounter = new BlobCounter();
blobCounter.FilterBlobs = true;
blobCounter.MinHeight = 60;
blobCounter.MinWidth = 40;
blobCounter.ProcessImage(tempImg);
Blob[] blobs = blobCounter.GetObjectsInformation();
for (int i = 0; i < blobs.Length; i++)
{
List <IntPoint> edgePoints = blobCounter.GetBlobsEdgePoints(blobs[i]);
List <IntPoint> corners = null;
SimpleShapeChecker shapeChecker = new SimpleShapeChecker();
if (shapeChecker.IsQuadrilateral(edgePoints, out corners))
{
++objectCount;
}
}
Console.WriteLine("No. of BLOBS: " + blobCounter.GetObjectsInformation().Length);
}
catch (Exception ex)
{
Console.WriteLine(ex.Message);
}
Console.Read();
}
private Bitmap getThreeFrameDifference(Bitmap frame)
{
if (lastFrame == null || lastButOneFrame == null)
{
return(null);
}
Difference filterPrevious = new Difference(lastButOneFrame);
Bitmap differenceBitmapPrevious = filterPrevious.Apply(lastFrame);
Difference filterNext = new Difference(lastFrame);
Bitmap differenceBitmapNext = filterNext.Apply(frame);
Intersect intersectionFilter = new Intersect(differenceBitmapPrevious);
Bitmap threeFrameDifferenceBitmap = intersectionFilter.Apply(differenceBitmapNext);
return(threeFrameDifferenceBitmap);
}
private Bitmap getChangingBackgroundDifference(Bitmap frame)
{
if (background == null || lastFrame == null)
{
background = frame;
return(null);
}
if (background != lastFrame)
{
Morph filter = new Morph(background);
filter.SourcePercent = 0.5;
background = filter.Apply(lastFrame);
}
Difference differenceFilter = new Difference(background);
Bitmap differenceBitmap = differenceFilter.Apply(frame);
return(differenceBitmap);
}
public static Bitmap operationImages(Bitmap img1, Bitmap img2, int op)
{
img1 = ImageUtil.convert(img1, System.Drawing.Imaging.PixelFormat.Format32bppArgb);
img2 = ImageUtil.convert(img2, System.Drawing.Imaging.PixelFormat.Format32bppArgb);
Bitmap filteredImage = img1;
IFilter myFilter;
if (op == Filters.mode["Add"])
{
myFilter = new Add(img2);
filteredImage = myFilter.Apply(img1);
}
else if (op == Filters.mode["Subtract"])
{
myFilter = new Subtract(img2);
filteredImage = myFilter.Apply(img1);
}
else if (op == Filters.mode["Intersect"])
{
myFilter = new Intersect(img2);
filteredImage = myFilter.Apply(img1);
}
else if (op == Filters.mode["Difference"])
{
myFilter = new Difference(img2);
filteredImage = myFilter.Apply(img1);
}
else if (op == Filters.mode["Merge"])
{
myFilter = new Merge(img2);
filteredImage = myFilter.Apply(img1);
}
else if (op == Filters.mode["Multiply"])
{
myFilter = new Multiply(img2);
filteredImage = myFilter.Apply(img1);
}
return(filteredImage);
}
private async Task CalibThread(FrameReadyEventArgs e)
{
try
{
if (_errors > MaxErrorCount)
{
_cc.FrameReady -= BaseCalibration;
_vs.Close();
Console.WriteLine("Calibration impossible");
}
if (_calibrationStep == CalibrationFrames)
{
_cc.FrameReady -= BaseCalibration;
_vs.Close();
Console.WriteLine("Calibration complete");
CalibrationCompleted(this, new EventArgs());
}
else
{
switch (_calibrationStep)
{
// get the corners from the difference image
case 2:
var bm = UnmanagedImage.FromManagedImage(e.Frame.Bitmap);
bm = _diffFilter.Apply(bm);
var gf = new GaussianBlur(9.0, 3);
gf.ApplyInPlace(bm);
var cf = new ColorFiltering(new IntRange(10, 255), new IntRange(20, 255),
new IntRange(20, 255));
cf.ApplyInPlace(bm);
var blobCounter = new BlobCounter
{
ObjectsOrder = ObjectsOrder.Size,
BackgroundThreshold = Color.FromArgb(255, 15, 20, 20),
FilterBlobs = true
};
blobCounter.ProcessImage(bm);
var blobs = blobCounter.GetObjectsInformation();
if (blobs.Any())
{
int i = 0;
List <IntPoint> corners;
do
{
corners =
PointsCloud.FindQuadrilateralCorners(blobCounter.GetBlobsEdgePoints(blobs[i++]));
} while (corners.Count != 4);
InPlaceSort(corners);
Grid.TopLeft = new Point(corners[0].X, corners[0].Y);
Grid.TopRight = new Point(corners[1].X, corners[1].Y);
Grid.BottomLeft = new Point(corners[2].X, corners[2].Y);
Grid.BottomRight = new Point(corners[3].X, corners[3].Y);
if (Grid.TopLeft.X > 10 && Grid.TopRight.X < _vs.Width - 5 && Grid.BottomLeft.X > 5 &&
Grid.BottomRight.X < _vs.Width - 5 && Grid.TopLeft.Y > 10 && Grid.TopRight.Y > 5 &&
Grid.BottomLeft.Y < _vs.Height - 5 && Grid.BottomRight.Y < _vs.Height - 5 &&
Grid.TopLeft.X < Grid.BottomRight.X && //blobs[i - 1].Area > 60000 &&
Grid.BottomLeft.X < Grid.TopRight.X && Grid.BottomLeft.X < Grid.BottomRight.X &&
Grid.TopLeft.Y < Grid.BottomLeft.Y && Grid.TopLeft.Y < Grid.BottomRight.Y &&
Grid.TopRight.Y < Grid.BottomLeft.Y && Grid.TopRight.Y < Grid.BottomRight.Y)
{
_calibrationStep++;
_vs.Clear();
Grid.AddPoint(new Point(), new Point(corners[0].X, corners[0].Y));
Grid.AddPoint(new Point(0, _vs.Height), new Point(corners[1].X, corners[1].Y));
Grid.AddPoint(new Point(_vs.Width, 0), new Point(corners[2].X, corners[2].Y));
Grid.AddPoint(new Point(_vs.Width, _vs.Height),
new Point(corners[3].X, corners[3].Y));
}
else
{
_calibrationStep = 0;
_errors++;
}
}
else
{
_calibrationStep = 0;
_errors++;
_vs.Draw();
}
break;
case 1: // draw second image, store the first
_diffFilter.OverlayImage = e.Frame.Bitmap;
_vs.Clear();
for (int y = 0; y < Columncount; y++)
{
for (int x = 0; x < Rowcount; x++)
{
if (!(y % 2 == 0 && x % 2 == 0 || y % 2 == 1 && x % 2 == 1))
{
_vs.AddRect((int)(x * _sqrwidth), (int)(y * _sqrheight),
(int)_sqrwidth, (int)_sqrheight,
Color.FromArgb(255, 255, 255, 255));
}
}
}
_vs.Draw();
_calibrationStep++;
break;
//draw the first image
case 0:
Grid = new Grid(e.Frame.Bitmap.Width, e.Frame.Bitmap.Height)
{
ScreenSize = new Rectangle(0, 0, _vs.Width, _vs.Height)
};
var thread = new Thread(() =>
{
_vs.Show();
_vs.AddRect(0, 0, _vs.Width, _vs.Height, Color.FromArgb(255, 0, 0, 0));
});
thread.SetApartmentState(ApartmentState.STA);
thread.Start();
thread.Join();
for (int y = 0; y < Columncount; y++)
{
for (int x = 0; x < Rowcount; x++)
{
if (y % 2 == 0 && x % 2 == 0 || y % 2 == 1 && x % 2 == 1)
{
_vs.AddRect((int)(x * _sqrwidth), (int)(y * _sqrheight),
(int)_sqrwidth, (int)_sqrheight,
Color.FromArgb(255, 255, 255, 255));
}
}
}
_vs.Draw();
_calibrationStep++;
break;
}
}
await Task.Delay(MillisecondsDelay);
}
finally
{
_sem.Release();
}
}
private void button1_Click(object sender, EventArgs e)
{
disp1.SizeMode = PictureBoxSizeMode.StretchImage;
disp2.SizeMode = PictureBoxSizeMode.StretchImage;
disp3.SizeMode = PictureBoxSizeMode.StretchImage;
System.Drawing.Image refimg = System.Drawing.Image.FromFile("C:\\Users\\MohammadAlCheikhSale\\Desktop\\Final Hackathon\\RefImg.jpg");
System.Drawing.Image caseimg = System.Drawing.Image.FromFile("C:\\Users\\MohammadAlCheikhSale\\Desktop\\Final Hackathon\\CaseImg.jpg");
// create filter
Difference filter = new Difference((Bitmap)refimg);
// apply the filter
Bitmap resultImage = filter.Apply((Bitmap)caseimg);
disp1.Image = refimg;
//ResultImage.Image = resultImage;
disp2.Image = caseimg;
show_result(resultImage);
System.Threading.Thread.Sleep(5000);
Grayscale gsfilter = new Grayscale(0.2125, 0.7154, 0.0721);
Bitmap gsImage = gsfilter.Apply((Bitmap)caseimg);
//ResultImage.Image = gsImage;
System.Threading.Thread.Sleep(5000);
Threshold bnFilter = new Threshold(100);
Bitmap bnImage = bnFilter.Apply((Bitmap)gsImage);
disp3.Image = bnImage;
System.Threading.Thread.Sleep(5000);
MaskedFilter mask = new MaskedFilter(new Sepia(), bnImage);
Bitmap MasImage = mask.Apply((Bitmap)caseimg);
disp3.Image = MasImage;
/*HSLFiltering filter = new HSLFiltering(
* new IntRange(330, 30), // hue range
* new Range(0, 1), // saturation range
* new Range(0, 1)); // luminance range
*
* filter.UpdateLuminance = false;
* filter.UpdateHue = false;
* // apply the filter
* filter.ApplyInPlace((Bitmap)proimg);*/
/*Median filter = new Median();
* // apply the filter
* filter.ApplyInPlace((Bitmap)proimg);*/
/*/ create grayscale filter (BT709)
* Grayscale filter1 = new Grayscale(0.2125, 0.7154, 0.0721);
* // apply the filter
* Bitmap grayImage = filter1.Apply((Bitmap)proimg);
*
* // create filter
* BlobsFiltering filter = new BlobsFiltering();
* // configure filter
* filter.CoupledSizeFiltering = true;
* filter.MinWidth = 70;
* filter.MinHeight = 70;
* // apply the filter
* filter.ApplyInPlace(grayImage);
*
* // create filter
* Difference filter2 = new Difference(overlayImage);
* // apply the filter
* Bitmap resultImage = filter2.Apply(sourceImage);
* procImage.Image = grayImage;*/
/* BlobCounter bc = new BlobCounter();
* bc.ProcessImage((Bitmap)resultImage);
* Blob[] blobs = bc.GetObjectsInformation();
*/
}
private async Task CalibThread(FrameReadyEventArgs e)
{
Debug.WriteLine("Calibrating " + _calibrationStep);
e.Frame.Bitmap.Save(@"C:\temp\aforge\src\img" + _calibrationStep + ".jpg");
//var stats = new ImageStatistics(e.Frame.Bitmap);
// //var histogram = stats.Gray;
////Debug.WriteLine("Grey: Min: " + histogram.Min + " Max: " + histogram.Max + " Mean: " + histogram.Mean +
//// " Dev: " + histogram.StdDev + " Median: " + histogram.Median);
//var histogram = stats.Green;
//Debug.WriteLine("Green: Min: " + histogram.Min + " Max: " + histogram.Max + " Mean: " + histogram.Mean +
// " Dev: " + histogram.StdDev + " Median: " + histogram.Median);
//histogram = stats.Blue;
//Debug.WriteLine("Blue: Min: " + histogram.Min + " Max: " + histogram.Max + " Mean: " + histogram.Mean +
// " Dev: " + histogram.StdDev + " Median: " + histogram.Median);
//histogram = stats.Red;
//Debug.WriteLine("Red: Min: " + histogram.Min + " Max: " + histogram.Max + " Mean: " + histogram.Mean +
//e.Frame.Bitmap.Save(@"C:\temp\aforge\src\img" + _calibrationStep + ".jpg");
// " Dev: " + histogram.StdDev + " Median: " + histogram.Median);
//e.NewImage.Save(@"C:\temp\aforge\src\img" + _calibrationStep + ".jpg");
if (_errors > 100)
{
//calibration not possible
return;
}
if (_calibrationStep == 3)
{
_cc.FrameReady -= BaseCalibration; // TODO
//Grid.Calculate();
_vs.Close();
CalibrationCompleted(this, new EventArgs());
}
else
{
//var diffBitmap = new Bitmap(1,1);
//if(diffFilter.OverlayImage != null)
// diffBitmap = diffFilter.Apply(e.NewImage);
//diffBitmap.Save(@"C:\temp\aforge\diff\img" + _calibrationStep + ".jpg");
if (_calibrationStep > 2)
{
_vs.Clear();
FillRects();
//var gf = new ColorFiltering(new IntRange(0, 255), //(int) stats.Red.Mean),
// new IntRange((int) (stats.Green.Mean + ColorDiff), 255),
// new IntRange(0, 255));//(int) stats.Blue.Mean));
//var bf = new ColorFiltering(new IntRange(0, 255),//(int)stats.Red.Mean),
// new IntRange(0, 255),//(int) stats.Green.Mean),
// new IntRange((int) stats.Blue.Mean + ColorDiff, 255));
// create color Channel images
var gbm = PartiallyApplyAvgFilter(e.Frame.Bitmap, Channels.Green, 8, 8, 8);
gbm.Save(@"C:\temp\aforge\gimg\img" + _calibrationStep + ".jpg");
var bbm = PartiallyApplyAvgFilter(e.Frame.Bitmap, Channels.Blue, 8, 8, 8);
bbm.Save(@"C:\temp\aforge\bimg\img" + _calibrationStep + ".jpg");
var gblobCounter = new BlobCounter {
ObjectsOrder = ObjectsOrder.YX,
MaxHeight = 30, MinHeight = 15, MaxWidth = 30, MinWidth = 15, FilterBlobs = true, CoupledSizeFiltering = false
};
gblobCounter.ProcessImage(gbm);
var bblobCounter = new BlobCounter {
ObjectsOrder = ObjectsOrder.YX,
MaxHeight = 30, MinHeight = 15, MaxWidth = 30, MinWidth = 15, FilterBlobs = true, CoupledSizeFiltering = false
};
bblobCounter.ProcessImage(bbm);
ProcessBlobs(gblobCounter, 0);
ProcessBlobs(bblobCounter, 1);
_calibrationStep++;
}
else
{
switch (_calibrationStep)
{
case 2: // identify screen bounds
//var thresholdFilter = new Threshold(50);
//thresholdFilter.ApplyInPlace(diffBitmap);
//var cf = new ColorFiltering(new IntRange(0, 255), //red is bad
// new IntRange((int) stats.Green.Mean + MeanDiff, 255),
// new IntRange((int) stats.Blue.Mean + MeanDiff, 255));
//var bm = cf.Apply(e.NewImage);
//var bm = PartiallyApplyAvgFilter(e.Frame.Bitmap, Channels.GreenAndBlue, 2, 2, MeanDiff);
var bm = UnmanagedImage.FromManagedImage(e.Frame.Bitmap);
bm = diffFilter.Apply(bm);
var gf = new GaussianBlur(9.0, 3);
gf.ApplyInPlace(bm);
var cf = new ColorFiltering(new IntRange(10, 255), new IntRange(20, 255),
new IntRange(20, 255));
cf.ApplyInPlace(bm);
var blobCounter = new BlobCounter {
ObjectsOrder = ObjectsOrder.Size, BackgroundThreshold = Color.FromArgb(255, 15, 20, 20), FilterBlobs = true
};
blobCounter.ProcessImage(bm);
bm.ToManagedImage().Save(@"C:\temp\aforge\diff.jpg");
var blobs = blobCounter.GetObjectsInformation();
int i = 0;
List <IntPoint> corners;
do
{
corners =
PointsCloud.FindQuadrilateralCorners(blobCounter.GetBlobsEdgePoints(blobs[i++]));
} while (corners.Count != 4);
InPlaceSort(corners);
Grid.TopLeft = new Point(corners[0].X, corners[0].Y);
Grid.TopRight = new Point(corners[1].X, corners[1].Y);
Grid.BottomLeft = new Point(corners[2].X, corners[2].Y);
Grid.BottomRight = new Point(corners[3].X, corners[3].Y);
if (Grid.TopLeft.X > 10 && Grid.TopRight.X < _vs.Width - 10 && Grid.BottomLeft.X > 10 &&
Grid.BottomRight.X < _vs.Width - 10 && Grid.TopLeft.Y > 10 && Grid.TopRight.Y > 10 &&
Grid.BottomLeft.Y < _vs.Height - 10 && Grid.BottomRight.Y < _vs.Height - 10 &&
Grid.TopLeft.X < Grid.BottomRight.X && blobs[i - 1].Area > 60000 &&
Grid.BottomLeft.X < Grid.TopRight.X && Grid.BottomLeft.X < Grid.BottomRight.X &&
Grid.TopLeft.Y < Grid.BottomLeft.Y && Grid.TopLeft.Y < Grid.BottomRight.Y &&
Grid.TopRight.Y < Grid.BottomLeft.Y && Grid.TopRight.Y < Grid.BottomRight.Y)
{
_calibrationStep++;
_vs.Clear();
FillRects();
Grid.AddPoint(new Point(), new Point(corners[0].X, corners[0].Y));
Grid.AddPoint(new Point(0, _vs.Height), new Point(corners[1].X, corners[1].Y));
Grid.AddPoint(new Point(_vs.Width, 0), new Point(corners[2].X, corners[2].Y));
Grid.AddPoint(new Point(_vs.Width, _vs.Height), new Point(corners[3].X, corners[3].Y));
}
else
{
_calibrationStep = 0;
_errors++;
}
break;
case 1:
diffFilter.OverlayImage = e.Frame.Bitmap;
//_vs.AddRect(0, 0, (int) _vs.Width, (int) _vs.Height, Color.FromArgb(255, 255, 255, 255));
_vs.Clear();
for (int y = 0; y < Columncount; y++)
{
for (int x = 0; x < Rowcount; x++)
{
if (!(y % 2 == 0 && x % 2 == 0 || y % 2 == 1 && x % 2 == 1))
{
_vs.AddRect((int)(x * _sqrwidth), (int)(y * _sqrheight),
(int)_sqrwidth, (int)_sqrheight,
Color.FromArgb(255, 255, 255, 255));
}
}
}
_vs.Draw();
_calibrationStep++;
break;
case 0:
Grid = new Grid(e.Frame.Bitmap.Width, e.Frame.Bitmap.Height);
var thread = new Thread(() =>
{
_vs.Show();
_vs.AddRect(0, 0, (int)_vs.Width, (int)_vs.Height, Color.FromArgb(255, 0, 0, 0));
});
thread.SetApartmentState(ApartmentState.STA);
thread.Start();
thread.Join();
for (int y = 0; y < Columncount; y++)
{
for (int x = 0; x < Rowcount; x++)
{
if (y % 2 == 0 && x % 2 == 0 || y % 2 == 1 && x % 2 == 1)
{
_vs.AddRect((int)(x * _sqrwidth), (int)(y * _sqrheight),
(int)_sqrwidth, (int)_sqrheight,
Color.FromArgb(255, 255, 255, 255));
}
}
}
_vs.Draw();
_calibrationStep++;
break;
}
}
}
Debug.WriteLine("Releasing");
await Task.Delay(100);
_sem.Release();
}
/// <summary>
/// Execute the segmentation process.After the segmentation is over you will
/// have a collection of moving objects that were idetified in this frame.
/// </summary>
/// <param name="frame">The frame.Can not be null.</param>
/// <returns>
/// A collection of moving objects, i.e. blobs.
/// </returns>
/// <exception cref="ArgumentNullException">Frame is null.</exception>
/// <exception cref="ProcessException">Error while executing the algorithm.</exception>
public ICollection <ExtendedBlob> execute(Bitmap frame)
{
/*
* 1. Convert image to grayscale.
* 2. Run Difference algorithm.
* 3. Use threshold of 40 to turn it into binary frame, why ? see paper
* "Moving target classification and tracking from real time video" by Lipton.
* 4. Apply connected components algorithm.
*/
// First time running means no prerior data to compare.
if (previousFrame == null)
{
// create initial backgroung image
previousFrame = grayscaleFilter.Apply(frame);
// get image dimension
width = frame.Width;
height = frame.Height;
// Return empty list.
return(new List <ExtendedBlob>());
}
else
{
// apply the grayscale file
Bitmap grayscaledImage = grayscaleFilter.Apply(frame);
// set backgroud frame as an overlay for difference filter
differenceFilter.OverlayImage = previousFrame;
// apply difference filter
Bitmap differenceImage = differenceFilter.Apply(grayscaledImage);
// lock the temporary image and apply some filters on the locked data
bitmapData = differenceImage.LockBits(new Rectangle(0, 0, width, height),
ImageLockMode.ReadWrite, PixelFormat.Format8bppIndexed);
// threshold filter
thresholdFilter.ApplyInPlace(bitmapData);
Bitmap medianImage = medianFilter.Apply(bitmapData);
pixelateFilter.ApplyInPlace(medianImage);
// unlock temporary image
differenceImage.UnlockBits(bitmapData);
differenceImage.Dispose();
// Run connected components.
List <ExtendedBlob> returnValue = runConectedComponentsAlgorithm(medianImage);
// Update users.
OnImageChanged(new ImageChangedEventArgs((Image)medianImage.Clone()));
// Clean
medianImage.Dispose();
// dispose old background
previousFrame.Dispose();
// set backgound to current
previousFrame = grayscaledImage;
return(returnValue);
}
}
private void ParseImage(int imageId)
{
DateTime startTime = DateTime.Now;
Console.WriteLine(string.Format("Start parsing {0}", startTime));
string difImagePath = "";
if (imageId >= 0)
{
difImagePath = DifBoardImages[imageId];
}
Bitmap orig;
Bitmap dif;
try
{
Console.WriteLine("Load files");
orig = (Bitmap)Bitmap.FromFile(OriginalBoardImage);
if (imageId >= 0)
{
dif = (Bitmap)Bitmap.FromFile(difImagePath);
}
else
{
dif = (Bitmap)internalImageContainer;
}
}
catch (Exception ex)
{
Console.WriteLine("ERR: " + ex.Message);
Console.WriteLine(ex.StackTrace);
// kill any exception due to missing files
return;
}
Difference filter = new Difference(orig);
dif = filter.Apply(dif);
Console.WriteLine("Apply difference filter");
BlobCounter blobCounter = new BlobCounter();
blobCounter.ProcessImage(dif);
Console.WriteLine("Blob counting");
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]);
Console.Write(string.Format("Detected {0} points", edgePoints.Count));
if (edgePoints.Count <= 1)
{
continue;
}
List <IntPoint> points = new List <IntPoint>();
if (shapeChecker.IsQuadrilateral(edgePoints))
{
Console.Write(", quadrilateral");
}
else if (shapeChecker.IsConvexPolygon(edgePoints, out points))
{
Console.Write(", convex poligon");
}
else if (shapeChecker.IsTriangle(edgePoints, out points))
{
Console.Write(", triangle");
}
Pen usePen = shapeChecker.IsQuadrilateral(edgePoints) ? redPen : bluePen;
int centerX = edgePoints[0].X;
int centerY = edgePoints[0].Y;
for (int j = 0; j < edgePoints.Count - 1; j++)
{
centerX += edgePoints[j + 1].X;
centerY += edgePoints[j + 1].Y;
g.DrawLine(usePen, edgePoints[j].X, edgePoints[j].Y, edgePoints[j + 1].X, edgePoints[j + 1].Y);
}
// add last point
centerX += edgePoints[edgePoints.Count - 1].X;
centerY += edgePoints[edgePoints.Count - 1].Y;
g.DrawLine(usePen
, edgePoints[0].X, edgePoints[0].Y
, edgePoints[edgePoints.Count - 1].X, edgePoints[edgePoints.Count - 1].Y);
Console.WriteLine(string.Format("\nOriginal (x, y): {0}, {1}"
, new object[] {
(centerX / edgePoints.Count), (centerY / edgePoints.Count)
}));
Console.WriteLine(string.Format("Detected (x, y): {0}, {1}"
, (centerX / edgePoints.Count)
, (centerY / edgePoints.Count)
));
}
redPen.Dispose();
bluePen.Dispose();
g.Dispose();
//DifI = dif;
dif.Save(dirPath + "processed-dif.jpg");
Console.WriteLine(string.Format("Duration: {0} sec", (DateTime.Now - startTime)));
}
private async Task CalibThread(FrameReadyEventArgs e)
{
//Debug.WriteLine("Calibrating " + _calibrationStep + " " + _drawing);
//e.Frame.Bitmap.Save(@"C:\temp\daforge\src\img" + (_calibrationStep<10?"0":"") + _calibrationStep + "-" + (_drawing?"1":"0") + "-" + _errors + ".jpg", ImageFormat.Jpeg);
if (_errors > 100)
{
//calibration not possible
return;
}
if (_calibrationStep == CalibrationFrames)
{
_cc.FrameReady -= BaseCalibration; // TODO
//Grid.Calculate();
//Grid.PredictFromCorners();
_vs.Close();
Console.WriteLine("Calibration complete");
CalibrationCompleted(this, new EventArgs());
}
else
{
switch (_calibrationStep)
{
// get the corners from the difference image
case 2:
var bm = UnmanagedImage.FromManagedImage(e.Frame.Bitmap);
//diffFilter.OverlayImage.Save(@"C:\temp\daforge\diff\src" + _errors + ".jpg", ImageFormat.Jpeg);
bm = diffFilter.Apply(bm);
var gf = new GaussianBlur(9.0, 3);
gf.ApplyInPlace(bm);
var cf = new ColorFiltering(new IntRange(10, 255), new IntRange(20, 255),
new IntRange(20, 255));
cf.ApplyInPlace(bm);
var blobCounter = new BlobCounter
{
ObjectsOrder = ObjectsOrder.Size,
BackgroundThreshold = Color.FromArgb(255, 15, 20, 20),
FilterBlobs = true
};
blobCounter.ProcessImage(bm);
//bm.ToManagedImage().Save(@"C:\temp\daforge\diff\img" + _calibrationStep + "-" + _errors + ".jpg", ImageFormat.Jpeg);
var blobs = blobCounter.GetObjectsInformation();
if (blobs.Any())
{
int i = 0;
List <IntPoint> corners;
do
{
corners =
PointsCloud.FindQuadrilateralCorners(blobCounter.GetBlobsEdgePoints(blobs[i++]));
} while (corners.Count != 4);
RecursiveAForgeCalibrator.GridBlobs.InPlaceSort(corners);
Grid.TopLeft = new Point(corners[0].X, corners[0].Y);
Grid.TopRight = new Point(corners[1].X, corners[1].Y);
Grid.BottomLeft = new Point(corners[2].X, corners[2].Y);
Grid.BottomRight = new Point(corners[3].X, corners[3].Y);
if (Grid.TopLeft.X > 10 && Grid.TopRight.X < _vs.Width - 5 && Grid.BottomLeft.X > 5 &&
Grid.BottomRight.X < _vs.Width - 5 && Grid.TopLeft.Y > 10 && Grid.TopRight.Y > 5 &&
Grid.BottomLeft.Y < _vs.Height - 5 && Grid.BottomRight.Y < _vs.Height - 5 &&
Grid.TopLeft.X < Grid.BottomRight.X && //blobs[i - 1].Area > 60000 &&
Grid.BottomLeft.X < Grid.TopRight.X && Grid.BottomLeft.X < Grid.BottomRight.X &&
Grid.TopLeft.Y < Grid.BottomLeft.Y && Grid.TopLeft.Y < Grid.BottomRight.Y &&
Grid.TopRight.Y < Grid.BottomLeft.Y && Grid.TopRight.Y < Grid.BottomRight.Y)
{
_calibrationStep++;
_vs.Clear();
Grid.AddPoint(new Point(), new Point(corners[0].X, corners[0].Y));
Grid.AddPoint(new Point(0, _vs.Height), new Point(corners[1].X, corners[1].Y));
Grid.AddPoint(new Point(_vs.Width, 0), new Point(corners[2].X, corners[2].Y));
Grid.AddPoint(new Point(_vs.Width, _vs.Height),
new Point(corners[3].X, corners[3].Y));
}
else
{
_calibrationStep = 0;
_errors++;
}
}
else
{
_calibrationStep = 0;
_errors++;
_vs.Draw();
}
break;
case 1: // draw second image, store the first
diffFilter.OverlayImage = e.Frame.Bitmap;
//diffFilter.OverlayImage.Save(@"C:\temp\daforge\diff\srcf" + _errors + ".jpg", ImageFormat.Jpeg);
//_vs.AddRect(0, 0, (int) _vs.Width, (int) _vs.Height, Color.FromArgb(255, 255, 255, 255));
_vs.Clear();
for (int y = 0; y < Columncount; y++)
{
for (int x = 0; x < Rowcount; x++)
{
if (!(y % 2 == 0 && x % 2 == 0 || y % 2 == 1 && x % 2 == 1))
{
_vs.AddRect((int)(x * _sqrwidth), (int)(y * _sqrheight),
(int)_sqrwidth, (int)_sqrheight,
Color.FromArgb(255, 255, 255, 255));
}
}
}
_vs.Draw();
_calibrationStep++;
break;
//draw the first image
case 0:
Grid = new Grid(e.Frame.Bitmap.Width, e.Frame.Bitmap.Height);
Grid.ScreenSize = new Rectangle(0, 0, _vs.Width, _vs.Height);
var thread = new Thread(() =>
{
_vs.Show();
_vs.AddRect(0, 0, _vs.Width, _vs.Height, Color.FromArgb(255, 0, 0, 0));
});
thread.SetApartmentState(ApartmentState.STA);
thread.Start();
thread.Join();
for (int y = 0; y < Columncount; y++)
{
for (int x = 0; x < Rowcount; x++)
{
if (y % 2 == 0 && x % 2 == 0 || y % 2 == 1 && x % 2 == 1)
{
_vs.AddRect((int)(x * _sqrwidth), (int)(y * _sqrheight),
(int)_sqrwidth, (int)_sqrheight,
Color.FromArgb(255, 255, 255, 255));
}
}
}
_vs.Draw();
_calibrationStep++;
break;
}
}
Debug.WriteLine("Releasing");
await Task.Delay(500);
_sem.Release();
}
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);
}
private async Task CalibThread(FrameReadyEventArgs e)
{
Debug.WriteLine("Calibrating " + _calibrationStep + " ");
e.Frame.Bitmap.Save(@"C:\temp\daforge\src\img" + (_calibrationStep < 10?"0":"") + _calibrationStep + "-" + _errors + ".jpg", ImageFormat.Jpeg);
if (_errors > 100)
{
//calibration not possible
return;
}
if (_calibrationStep > CalibrationFrames)
{
// A concurrency problem, do nothing
}
if (_calibrationStep == CalibrationFrames)
{
_cc.FrameReady -= BaseCalibration;
_calibrationStep++;
//Grid.Calculate();
_vs.Close();
CalibrationCompleted(this, new EventArgs());
}
else
{
if (_calibrationStep > 2)
{
// analyse diffimage
_vs.Clear();
var img = diffFilter.Apply(e.Frame.Bitmap);
var mf = new GaussianBlur(0.6, 5);
var gf = Grayscale.CommonAlgorithms.BT709;
#if DEBUG
actImg = (Bitmap)img.Clone();
#endif
img = gf.Apply(img);
var stats = new ImageStatistics(img);
mf.ApplyInPlace(img);
mf = new GaussianBlur(0.7, 7);
mf.ApplyInPlace(img);
var tf = new Threshold((int)(stats.GrayWithoutBlack.Mean + stats.GrayWithoutBlack.StdDev * 2.0));
tf.ApplyInPlace(img);
img.Save(@"C:\temp\daforge\diff\img" + _calibrationStep + "-" + _errors + ".jpg", ImageFormat.MemoryBmp);
var blobCounter = new BlobCounter
{
ObjectsOrder = ObjectsOrder.YX,
MaxHeight = 30,
MinHeight = 10,
MaxWidth = 30,
MinWidth = 10,
FilterBlobs = true,
CoupledSizeFiltering = false
};
blobCounter.ProcessImage(img);
if (ProcessBlobs(blobCounter))
{
_calibrationStep++;
}
else
{
_errors++;
}
#if DEBUG
actImg.Save(@"C:\temp\daforge\squares\img" + _calibrationStep + ".jpg", ImageFormat.Jpeg);
#endif
DrawMarkers();
}
else
{
switch (_calibrationStep)
{
case 2:
var bm = UnmanagedImage.FromManagedImage(e.Frame.Bitmap);
//diffFilter.OverlayImage.Save(@"C:\temp\daforge\diff\src" + _errors + ".jpg", ImageFormat.Jpeg);
bm = diffFilter.Apply(bm);
var gf = new GaussianBlur(0.8, 5);
gf.ApplyInPlace(bm);
var cf = new ColorFiltering(new IntRange(10, 255), new IntRange(20, 255),
new IntRange(20, 255));
cf.ApplyInPlace(bm);
var blobCounter = new BlobCounter
{
ObjectsOrder = ObjectsOrder.Size,
MinHeight = 200,
MinWidth = 300,
//BackgroundThreshold = Color.FromArgb(255, 20, 20, 50),
//CoupledSizeFiltering = false,
FilterBlobs = true
};
blobCounter.ProcessImage(bm);
bm.ToManagedImage()
.Save(@"C:\temp\daforge\diff\img" + _calibrationStep + "-" + _errors + ".jpg",
ImageFormat.Jpeg);
var blobs = blobCounter.GetObjectsInformation();
if (blobs.Any())
{
int i = 0;
List <IntPoint> corners;
do
{
corners =
PointsCloud.FindQuadrilateralCorners(blobCounter.GetBlobsEdgePoints(blobs[i++]));
} while (corners.Count != 4);
RecursiveAForgeCalibrator.GridBlobs.InPlaceSort(corners);
Grid.TopLeft = new Point(corners[0].X, corners[0].Y);
Grid.TopRight = new Point(corners[1].X, corners[1].Y);
Grid.BottomLeft = new Point(corners[2].X, corners[2].Y);
Grid.BottomRight = new Point(corners[3].X, corners[3].Y);
if (Grid.TopLeft.X > 10 && Grid.TopRight.X < _vs.Width - 5 && Grid.BottomLeft.X > 5 &&
Grid.BottomRight.X < _vs.Width - 5 && Grid.TopLeft.Y > 10 && Grid.TopRight.Y > 5 &&
Grid.BottomLeft.Y < _vs.Height - 5 && Grid.BottomRight.Y < _vs.Height - 5 &&
Grid.TopLeft.X < Grid.BottomRight.X &&
Grid.BottomLeft.X < Grid.TopRight.X && Grid.BottomLeft.X < Grid.BottomRight.X &&
Grid.TopLeft.Y < Grid.BottomLeft.Y && Grid.TopLeft.Y < Grid.BottomRight.Y &&
Grid.TopRight.Y < Grid.BottomLeft.Y && Grid.TopRight.Y < Grid.BottomRight.Y)
{
_calibrationStep++;
_vs.Clear();
Grid.AddPoint(new Point(), new Point(corners[0].X, corners[0].Y));
Grid.AddPoint(new Point(0, _vs.Height), new Point(corners[1].X, corners[1].Y));
Grid.AddPoint(new Point(_vs.Width, 0), new Point(corners[2].X, corners[2].Y));
Grid.AddPoint(new Point(_vs.Width, _vs.Height),
new Point(corners[3].X, corners[3].Y));
DrawMarkers();
}
else
{
_calibrationStep = 0;
_errors++;
}
}
else
{
_calibrationStep = 0;
_errors++;
}
break;
case 1:
diffFilter.OverlayImage = e.Frame.Bitmap;
//diffFilter.OverlayImage.Save(@"C:\temp\daforge\diff\srcf" + _errors + ".jpg", ImageFormat.Jpeg);
//_vs.AddRect(0, 0, (int) _vs.Width, (int) _vs.Height, Color.FromArgb(255, 255, 255, 255));
_vs.Clear();
DrawInverted(0, 0, _vs.Width, _vs.Height);
_vs.Draw();
_calibrationStep++;
break;
case 0:
Grid = new Grid(e.Frame.Bitmap.Width, e.Frame.Bitmap.Height);
Grid.ScreenSize = new Rectangle(0, 0, _vs.Width, _vs.Height);
var thread = new Thread(() =>
{
_vs.Show();
});
thread.SetApartmentState(ApartmentState.STA);
thread.Start();
thread.Join();
DrawBackground();
_vs.Draw();
_calibrationStep++;
break;
}
}
}
Debug.WriteLine("Releasing");
await Task.Delay(500);
_sem.Release();
}
// Slow version (eventually pictures could be resized for more performance)
private void FindPersonPosition(UnmanagedImage frameImage)
{
var stopwatch = Stopwatch.StartNew();
Difference diffFilter = new Difference(_baseImage);
UnmanagedImage diffImg = diffFilter.Apply(frameImage);
//diffImg.ToManagedImage().Save(@"c:\temp\recognition\diff.png");
// TODO ev. ColorFilter
Grayscale grayFilter = new GrayscaleBT709();
diffImg = grayFilter.Apply(diffImg);
//diffImg.ToManagedImage().Save(@"c:\temp\recognition\diff-gray.png");
Threshold thresholdFilter = new Threshold(30);
thresholdFilter.ApplyInPlace(diffImg);
//diffImg.ToManagedImage().Save(@"c:\temp\recognition\diff-gray-thres.png");
Median medianFilter = new Median(3);
medianFilter.ApplyInPlace(diffImg);
//diffImg.ToManagedImage().Save(@"c:\temp\recognition\diff-gray-thres-med.png");
// Find Person Borders (TODO ev. Performance Boost, wenn CollectActivePixels vermieden wird)
// per Iteration durch Pixeldaten koennte ev. die groesste und die kleinste x-Koordinate schneller
// gefunden werden..
List <AForge.IntPoint> whites = diffImg.CollectActivePixels(BOTTOM_BASE_STRIPE);
int minX = whites.Min(obj => obj.X);
int maxX = whites.Max(obj => obj.X);
// Schneller als MS Algorithmus fuer Min und Max
// (auch wenn es assymptotisch gleich schnell sein muesste)
//int minX = int.MaxValue;
//int maxX = int.MinValue;
//foreach(AForge.IntPoint whitePixel in whites)
//{
// //if (whitePixel.X < minX)
// //{
// // minX = whitePixel.X;
// //}
// if (whitePixel.X > maxX)
// {
// maxX = whitePixel.X;
// }
//}
var elapsedStage1 = stopwatch.ElapsedMilliseconds;
Debug.WriteLine("Person is this fat: {0}, {1}", minX, maxX);
// Find Arm
whites = diffImg.CollectActivePixels(new Rectangle(maxX, 0, 640 - maxX, 480 - BOTTOM_BASE_STRIPE.Height));
maxX = whites.Max(obj => obj.X);
var armPoint = whites.First(obj => obj.X == maxX);
Debug.WriteLine("Persons arm is here: {0}, {1}", armPoint.X, armPoint.Y);
Bitmap b = frameImage.ToManagedImage();
using (Graphics g = Graphics.FromImage(b))
{
g.DrawEllipse(Pens.Red, armPoint.X, armPoint.Y, 5, 5);
b.Save(@"c:\temp\recognition\gach.png");
}
Debug.WriteLine("Time: {0}", elapsedStage1);
stopwatch.Stop();
}
private async Task CalibThread(FrameReadyEventArgs e)
{
Debug.WriteLine("Calibrating " + _calibrationStep + " " + _drawing);
e.Frame.Bitmap.Save(@"C:\temp\daforge\src\img" + (_calibrationStep < 10?"0":"") + _calibrationStep + "-" + (_drawing?"1":"0") + "-" + _errors + ".jpg", ImageFormat.Jpeg);
if (_errors > 100)
{
//calibration not possible
return;
}
if (_calibrationStep == CalibrationFrames && !_drawing)
{
_cc.FrameReady -= BaseCalibration; // TODO
//Grid.Calculate();
_vs.Close();
CalibrationCompleted(this, new EventArgs());
}
else
{
if (_calibrationStep > 2)
{
if (_drawing)
{
// draw diffimage
_drawing = false;
_vs.Clear();
FillRects();
diffFilter.OverlayImage = e.Frame.Bitmap;
}
else
{
// analyse diffimage
_calibrationStep++;
_drawing = true;
_vs.Clear();
FillRects();
_calibrationStep--;
var gbm = diffFilter.Apply(e.Frame.Bitmap);
gbm.Save(@"C:\temp\daforge\diff\img" + _calibrationStep + ".jpg", ImageFormat.Jpeg);
#if DEBUG
actImg = (Bitmap)gbm.Clone();
#endif
var d = UnmanagedImage.FromManagedImage(gbm);
var stats = new ImageStatistics(d);
var gcf = new ColorFiltering(new IntRange(0, 255),
new IntRange((int)(stats.GreenWithoutBlack.Mean + stats.GreenWithoutBlack.StdDev + 5), 255),
new IntRange(0, 255));
var bcf = new ColorFiltering(new IntRange(0, 255),
new IntRange(0, 255),
new IntRange((int)(stats.BlueWithoutBlack.Mean + stats.BlueWithoutBlack.StdDev), 255));
//Debug.WriteLine("Green: " + stats.GreenWithoutBlack.Median + " Blue: " + stats.BlueWithoutBlack.Median);
//Debug.WriteLine("Green: " + stats.GreenWithoutBlack.Mean + " Blue: " + stats.BlueWithoutBlack.Mean);
var bf = new Difference(gcf.Apply(d));
bcf.ApplyInPlace(d);
bf.ApplyInPlace(d);
d.ToManagedImage().Save(@"C:\temp\daforge\diff\img" + _calibrationStep + ".jpg", ImageFormat.Jpeg);
stats = new ImageStatistics(d);
gcf = new ColorFiltering(new IntRange(0, 255),
new IntRange((int)stats.GreenWithoutBlack.Mean, 255),
new IntRange(0, 255));
bcf = new ColorFiltering(new IntRange(0, 255),
new IntRange(0, 255),
new IntRange((int)stats.BlueWithoutBlack.Mean, 255));
// split channels
var bbm = bcf.Apply(d);
bbm.ToManagedImage().Save(@"C:\temp\daforge\bimg\img" + _calibrationStep + ".jpg", ImageFormat.Bmp);
gcf.ApplyInPlace(d);
d.ToManagedImage().Save(@"C:\temp\daforge\gimg\img" + _calibrationStep + ".jpg", ImageFormat.Bmp);
var gblobCounter = new BlobCounter
{
ObjectsOrder = ObjectsOrder.YX,
MaxHeight = 60,
MinHeight = 15,
MaxWidth = 60,
MinWidth = 15,
FilterBlobs = true,
CoupledSizeFiltering = false
};
gblobCounter.ProcessImage(d);
var bblobCounter = new BlobCounter
{
ObjectsOrder = ObjectsOrder.YX,
MaxHeight = 60,
MinHeight = 15,
MaxWidth = 60,
MinWidth = 15,
FilterBlobs = true,
CoupledSizeFiltering = false
};
bblobCounter.ProcessImage(bbm);
ProcessBlobs(gblobCounter, 0);
ProcessBlobs(bblobCounter, 1);
#if DEBUG
actImg.Save(@"C:\temp\daforge\squares\img" + _calibrationStep + ".jpg", ImageFormat.Jpeg);
#endif
_calibrationStep++;
}
}
else
{
switch (_calibrationStep)
{
case 2:
var bm = UnmanagedImage.FromManagedImage(e.Frame.Bitmap);
//diffFilter.OverlayImage.Save(@"C:\temp\daforge\diff\src" + _errors + ".jpg", ImageFormat.Jpeg);
bm = diffFilter.Apply(bm);
var gf = new GaussianBlur(9.0, 3);
gf.ApplyInPlace(bm);
var cf = new ColorFiltering(new IntRange(10, 255), new IntRange(20, 255),
new IntRange(20, 255));
cf.ApplyInPlace(bm);
var blobCounter = new BlobCounter {
ObjectsOrder = ObjectsOrder.Size, BackgroundThreshold = Color.FromArgb(255, 15, 20, 20), FilterBlobs = true
};
blobCounter.ProcessImage(bm);
bm.ToManagedImage().Save(@"C:\temp\daforge\diff\img" + _calibrationStep + "-" + _errors + ".jpg", ImageFormat.Jpeg);
var blobs = blobCounter.GetObjectsInformation();
if (blobs.Any())
{
int i = 0;
List <IntPoint> corners;
do
{
corners =
PointsCloud.FindQuadrilateralCorners(blobCounter.GetBlobsEdgePoints(blobs[i++]));
} while (corners.Count != 4);
RecursiveAForgeCalibrator.GridBlobs.InPlaceSort(corners);
Grid.TopLeft = new Point(corners[0].X, corners[0].Y);
Grid.TopRight = new Point(corners[1].X, corners[1].Y);
Grid.BottomLeft = new Point(corners[2].X, corners[2].Y);
Grid.BottomRight = new Point(corners[3].X, corners[3].Y);
if (Grid.TopLeft.X > 10 && Grid.TopRight.X < _vs.Width - 5 && Grid.BottomLeft.X > 5 &&
Grid.BottomRight.X < _vs.Width - 5 && Grid.TopLeft.Y > 10 && Grid.TopRight.Y > 5 &&
Grid.BottomLeft.Y < _vs.Height - 5 && Grid.BottomRight.Y < _vs.Height - 5 &&
Grid.TopLeft.X < Grid.BottomRight.X && blobs[i - 1].Area > 60000 &&
Grid.BottomLeft.X < Grid.TopRight.X && Grid.BottomLeft.X < Grid.BottomRight.X &&
Grid.TopLeft.Y < Grid.BottomLeft.Y && Grid.TopLeft.Y < Grid.BottomRight.Y &&
Grid.TopRight.Y < Grid.BottomLeft.Y && Grid.TopRight.Y < Grid.BottomRight.Y)
{
_calibrationStep++;
_drawing = true;
_vs.Clear();
FillRects();
Grid.AddPoint(new Point(), new Point(corners[0].X, corners[0].Y));
Grid.AddPoint(new Point(0, _vs.Height), new Point(corners[1].X, corners[1].Y));
Grid.AddPoint(new Point(_vs.Width, 0), new Point(corners[2].X, corners[2].Y));
Grid.AddPoint(new Point(_vs.Width, _vs.Height),
new Point(corners[3].X, corners[3].Y));
//_mapper.PredictFromCorners();
}
else
{
_calibrationStep = 0;
_errors++;
}
}
else
{
_calibrationStep = 0;
_errors++;
_vs.Draw();
}
break;
case 1:
diffFilter.OverlayImage = e.Frame.Bitmap;
//diffFilter.OverlayImage.Save(@"C:\temp\daforge\diff\srcf" + _errors + ".jpg", ImageFormat.Jpeg);
//_vs.AddRect(0, 0, (int) _vs.Width, (int) _vs.Height, Color.FromArgb(255, 255, 255, 255));
_vs.Clear();
for (int y = 0; y < Columncount; y++)
{
for (int x = 0; x < Rowcount; x++)
{
if (!(y % 2 == 0 && x % 2 == 0 || y % 2 == 1 && x % 2 == 1))
{
_vs.AddRect((int)(x * _sqrwidth), (int)(y * _sqrheight),
(int)_sqrwidth, (int)_sqrheight,
Color.FromArgb(255, 255, 255, 255));
}
}
}
_vs.Draw();
_calibrationStep++;
break;
case 0:
Grid = new Grid(e.Frame.Bitmap.Width, e.Frame.Bitmap.Height);
Grid.ScreenSize = new Rectangle(0, 0, _vs.Width, _vs.Height);
_mapper = new CornerBarycentricMapper(Grid);
var thread = new Thread(() =>
{
_vs.Show();
_vs.AddRect(0, 0, _vs.Width, _vs.Height, Color.FromArgb(255, 0, 0, 0));
});
thread.SetApartmentState(ApartmentState.STA);
thread.Start();
thread.Join();
for (int y = 0; y < Columncount; y++)
{
for (int x = 0; x < Rowcount; x++)
{
if (y % 2 == 0 && x % 2 == 0 || y % 2 == 1 && x % 2 == 1)
{
_vs.AddRect((int)(x * _sqrwidth), (int)(y * _sqrheight),
(int)_sqrwidth, (int)_sqrheight,
Color.FromArgb(255, 255, 255, 255));
}
}
}
_vs.Draw();
_calibrationStep++;
break;
}
}
}
Debug.WriteLine("Releasing");
await Task.Delay(500);
_sem.Release();
}
// Process new frame
public void ProcessFrame(ref Bitmap image)
{
if (backgroundFrame == null)
{
// create initial backgroung image
backgroundFrame = grayscaleFilter.Apply(image);
// get image dimension
width = image.Width;
height = image.Height;
// just return for the first time
return;
}
Bitmap tmpImage;
// apply the grayscale file
tmpImage = grayscaleFilter.Apply(image);
// set backgroud frame as an overlay for difference filter
differenceFilter.OverlayImage = backgroundFrame;
// apply difference filter
Bitmap tmpImage2 = differenceFilter.Apply(tmpImage);
// lock the temporary image and apply some filters on the locked data
bitmapData = tmpImage2.LockBits(new Rectangle(0, 0, width, height),
ImageLockMode.ReadWrite, PixelFormat.Format8bppIndexed);
// threshold filter
thresholdFilter.ApplyInPlace(bitmapData);
// erosion filter
Bitmap tmpImage3 = erosionFilter.Apply(bitmapData);
// unlock temporary image
tmpImage2.UnlockBits(bitmapData);
tmpImage2.Dispose( );
// calculate amount of changed pixels
pixelsChanged = (calculateMotionLevel) ?
CalculateWhitePixels(tmpImage3) : 0;
// dispose old background
backgroundFrame.Dispose( );
// set backgound to current
backgroundFrame = tmpImage;
// extract red channel from the original image
Bitmap redChannel = extrachChannel.Apply(image);
// merge red channel with moving object
mergeFilter.OverlayImage = tmpImage3;
Bitmap tmpImage4 = mergeFilter.Apply(redChannel);
redChannel.Dispose( );
tmpImage3.Dispose( );
// Updated from original example to support new AForge Libraries (Sumit)
if (replaceChannel == null)
{
replaceChannel = new ReplaceChannel(RGB.R, tmpImage4);
}
else
{
replaceChannel.ChannelImage = tmpImage4;
}
Bitmap tmpImage5 = replaceChannel.Apply(image);
tmpImage4.Dispose( );
image.Dispose( );
image = tmpImage5;
}