Bitmap processAll(string filename)
{
Bitmap SampleImage = (Bitmap)System.Drawing.Image.FromFile(filename);
Bitmap rChannel = processImageCenterline(filename);
Bitmap bChannel = processImageContour(filename);
ReplaceChannel replaceRFilter = new ReplaceChannel(RGB.R, rChannel);
ReplaceChannel replaceGFilter = new ReplaceChannel(RGB.G, rChannel);
ReplaceChannel replaceBFilter = new ReplaceChannel(RGB.B, bChannel);
replaceRFilter.ApplyInPlace(SampleImage);
replaceGFilter.ApplyInPlace(SampleImage);
replaceBFilter.ApplyInPlace(SampleImage);
return SampleImage;
//comment
}
// Process new frame
public void ProcessFrame( ref Bitmap image )
{
if ( backgroundFrame == null )
{
// create initial backgroung image
backgroundFrame = processingFilter1.Apply( image );
// get image dimension
width = image.Width;
height = image.Height;
// just return for the first time
return;
}
Bitmap tmpImage;
// apply the the first filters sequence
tmpImage = processingFilter1.Apply( image );
if ( ++counter == 2 )
{
counter = 0;
// move background towards current frame
moveTowardsFilter.OverlayImage = tmpImage;
moveTowardsFilter.ApplyInPlace( backgroundFrame );
}
// set backgroud frame as an overlay for difference filter
differenceFilter.OverlayImage = backgroundFrame;
// lock temporary image to apply several filters
bitmapData = tmpImage.LockBits( new Rectangle( 0, 0, width, height ),
ImageLockMode.ReadWrite, PixelFormat.Format8bppIndexed );
// apply difference filter
differenceFilter.ApplyInPlace( bitmapData );
// apply threshold filter
thresholdFilter.ApplyInPlace( bitmapData );
// apply dilatation filter
Bitmap tmpImage2 = dilatationFilter.Apply( bitmapData );
// unlock temporary image
tmpImage.UnlockBits( bitmapData );
tmpImage.Dispose( );
// calculate amount of changed pixels
pixelsChanged = ( calculateMotionLevel ) ?
CalculateWhitePixels( tmpImage2 ) : 0;
// find edges
Bitmap tmpImage2b = edgesFilter.Apply( tmpImage2 );
tmpImage2.Dispose( );
// extract red channel from the original image
Bitmap redChannel = extrachChannel.Apply( image );
// merge red channel with moving object borders
mergeFilter.OverlayImage = tmpImage2b;
Bitmap tmpImage3 = mergeFilter.Apply( redChannel );
redChannel.Dispose( );
tmpImage2b.Dispose( );
// replace red channel in the original image
// Updated from original example to support new AForge Libraries (Sumit)
if (replaceChannel == null)
{ replaceChannel = new ReplaceChannel(RGB.R, tmpImage3); }
else
{ replaceChannel.ChannelImage = tmpImage3; }
Bitmap tmpImage4 = replaceChannel.Apply( image );
tmpImage3.Dispose( );
image.Dispose( );
image = tmpImage4;
}
/// <summary>
/// processes Frame for Motion Detection based on background generation
/// </summary>
/// <param name="frame">
/// Takes in 2 Bitmap parameters, currentFrame and backgroundFrame
/// </param>
/// <returns>
/// frame in which motion is marked
/// </returns>
public Bitmap processFrame(params Bitmap[] frame)
{
Bitmap currentFrame = frame[0];
// create grayscale filter (BT709)
Grayscale filter = new Grayscale(0.2125, 0.7154, 0.0721);
Bitmap GScurrentFrame = filter.Apply(currentFrame);
if (this.backgroundFrame == null)
{
this.backgroundFrame = (Bitmap)GScurrentFrame.Clone();
GScurrentFrame.Dispose();
return currentFrame;
}
else
{
Morph filterx = new Morph(GScurrentFrame);
filterx.SourcePercent = 0.75;
Bitmap tmp = filterx.Apply(backgroundFrame);
// dispose old background
backgroundFrame.Dispose();
backgroundFrame = tmp;
// create processing filters sequence
FiltersSequence processingFilter = new FiltersSequence();
processingFilter.Add(new Difference(backgroundFrame));
processingFilter.Add(new Threshold(threshold_val));
processingFilter.Add(new Opening());
processingFilter.Add(new Edges());
// apply the filter
Bitmap tmp1 = processingFilter.Apply(GScurrentFrame);
IFilter extractChannel = new ExtractChannel(RGB.R);
Bitmap redChannel = extractChannel.Apply(currentFrame);
Merge mergeFilter = new Merge();
mergeFilter.OverlayImage = tmp1;
Bitmap t3 = mergeFilter.Apply(redChannel);
ReplaceChannel rc = new ReplaceChannel(RGB.R, t3);
t3 = rc.Apply(currentFrame);
redChannel.Dispose();
tmp1.Dispose();
GScurrentFrame.Dispose();
return t3;
}
}
// 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( );
// replace red channel in the original image
if(replaceChannel == null)
replaceChannel = new ReplaceChannel(RGB.R, tmpImage4);
else
replaceChannel.ChannelImage = tmpImage4;
Bitmap tmpImage5 = replaceChannel.Apply( image );
tmpImage4.Dispose( );
image.Dispose( );
image = tmpImage5;
}
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);
}
void webcam_ImageCaptured(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);
StateMgr.Execute(tmp1);
if (eChangedCursorEvent != null && StateMgr.Val == Webcam.ValidLocation.TRUE)
{
//Console.WriteLine("X={0} , Y={1}", StateMgr.CurrState.CurrX, StateMgr.CurrState.CurrY);
eChangedCursorEvent(StateMgr.CurrState.CurrX, StateMgr.CurrState.CurrY);
for (int i = -4; i <= 4; i++)
for (int j = -4; j <= 4;j++ )
tmp3.SetPixel(StateMgr.CurrState.CurrX+i, StateMgr.CurrState.CurrY+j, Color.Blue);
//eChangedCursorEvent(StateMgr.CurrState.CurrX, 100);
//eChangedCursorEvent(100, StateMgr.CurrState.CurrY);
}
_CaptureImage.Image = tmp1;
_CaptureImage2.Image = tmp3;
backgroundFrame = (Bitmap)e.WebCamImage;
backgroundFrameGray = grayscaleFilter.Apply(backgroundFrame);
}
/// <summary>
/// processes Frame for Motion Detection based on frame comparison
/// </summary>
/// <param name="frame">
/// Takes in 2 Bitmap parameters, currentFrame and backgroundFrame
/// </param>
/// <returns>
/// frame in which motion is marked
/// </returns>
public Bitmap processFrame(params Bitmap[] frame)
{
Bitmap currentFrame = frame[0];
// create grayscale filter (BT709)
Grayscale filter = new Grayscale(0.2125, 0.7154, 0.0721);
Bitmap GScurrentFrame = filter.Apply(currentFrame);
if (this.backgroundFrame == null)
{
this.backgroundFrame = (Bitmap)GScurrentFrame.Clone();
GScurrentFrame.Dispose();
return currentFrame;
}
else
{
Difference differenceFilter = new Difference();
IFilter thresholdFilter = new Threshold(15);
// set backgroud frame as an overlay for difference filter
differenceFilter.OverlayImage = backgroundFrame;
Bitmap tmp = thresholdFilter.Apply(differenceFilter.Apply(GScurrentFrame));
//reduce noise
IFilter erosionFilter = new Erosion();
Bitmap tmp1 = erosionFilter.Apply(tmp);
tmp.Dispose();
// Highlight Motions
IFilter extractChannel = new ExtractChannel(RGB.G);
Bitmap redChannel = extractChannel.Apply(currentFrame);
Merge mergeFilter = new Merge();
mergeFilter.OverlayImage = tmp1;
Bitmap t3 = mergeFilter.Apply(redChannel);
ReplaceChannel rc = new ReplaceChannel(RGB.G, t3);
t3 = rc.Apply(currentFrame);
this.backgroundFrame = (Bitmap)GScurrentFrame.Clone();
redChannel.Dispose();
tmp1.Dispose();
GScurrentFrame.Dispose();
return t3;
}
}
