Extract RGB channel from image.
Extracts specified channel of color image and returns it as grayscale image.
The filter accepts 24, 32, 48 and 64 bpp color images and produces 8 (if source is 24 or 32 bpp image) or 16 (if source is 48 or 64 bpp image) bpp grayscale image.
Sample usage:
// create filter ExtractChannel filter = new ExtractChannel( RGB.G ); // apply the filter Bitmap channelImage = filter.Apply( image ); Initial image:
Result image:
private Bitmap Flatten(Bitmap bmp, int fillint, int contint)
{
ColorFiltering colorFilter = new ColorFiltering();
colorFilter.Red = new IntRange(0, fillint);
colorFilter.Green = new IntRange(0, fillint);
colorFilter.Blue = new IntRange(0, fillint);
colorFilter.FillOutsideRange = false;
using (Bitmap filteredBmp = colorFilter.Apply(bmp))
{
AForge.Imaging.Filters.ContrastCorrection Contrast = new ContrastCorrection(contint);
AForge.Imaging.Filters.Invert invert = new Invert();
AForge.Imaging.Filters.ExtractChannel extract_channel = new ExtractChannel(RGB.B);
AForge.Imaging.Filters.Threshold thresh_hold = new Threshold(44);
Contrast.ApplyInPlace(filteredBmp);
Bitmap extractedBmp = extract_channel.Apply(filteredBmp);
thresh_hold.ApplyInPlace(extractedBmp);
invert.ApplyInPlace(extractedBmp);
return extractedBmp;
}
}
public TestPanel()
{
InitializeComponent();
selected = redFilter;
for (int x = 0; x < 187; x++)
{
comboBox1.Items.Add(x);
}
brownFilter.Red = new IntRange(55,85);
brownFilter.Green = new IntRange(45,75);
brownFilter.Blue = new IntRange(45,75);
comboBox2.Items.Add("Re");
comboBox2.Items.Add("Gr");
comboBox2.Items.Add("Bl");
}
private void comboBox2_SelectedIndexChanged(object sender, EventArgs e)
{
switch (comboBox2.SelectedIndex)
{
case 0:
selected = redFilter;
break;
case 1:
selected = greenFilter;
break;
case 2:
selected = blueFilter;
break;
default:
break;
}
Bitmap channel = selected.Apply((Bitmap)pictureBox1.Image);
thresholdFilter = new Threshold(Int32.Parse(textBox1.Text));
thresholdFilter.ApplyInPlace(channel);
pictureBox2.Image = channel;
}
public void Video_NewFrame(object sender, NewFrameEventArgs eventArgs)
{
UnmanagedImage image = UnmanagedImage.FromManagedImage((Bitmap) eventArgs.Frame.Clone());
var extractChannel = new ExtractChannel(RGB.R);
UnmanagedImage channel = extractChannel.Apply(image);
// UnmanagedImage originalRed = channel.Clone();
if (true) {
var threshold = new Threshold(200);
threshold.ApplyInPlace(channel);
////filter to convert RGB image to 8bpp gray scale for image processing
//IFilter gray_filter = new GrayscaleBT709();
//gray_image = gray_filter.Apply(gray_image);
////thresholding a image
//Threshold th_filter = new Threshold(color_data.threshold);
//th_filter.ApplyInPlace(gray_image);
//erosion filter to filter out small unwanted pixels
Erosion3x3 erosion = new Erosion3x3();
erosion.ApplyInPlace(channel);
//dilation filter
//Dilatation3x3 dilatation = new Dilatation3x3();
//dilatation.ApplyInPlace(channel);
//GrayscaleToRGB filter = new GrayscaleToRGB();
//image = filter.Apply(channel);
//ReplaceChannel replaceFilter = new ReplaceChannel(RGB.B, channel);
//replaceFilter.ApplyInPlace(image);
}
BlobCounter bc = new BlobCounter();
//arrange blobs by area
bc.ObjectsOrder = ObjectsOrder.Area;
bc.FilterBlobs = true;
bc.MinHeight = minObjectSize;
bc.MinWidth = minObjectSize;
bc.MaxHeight = maxObjectSize;
bc.MaxWidth = maxObjectSize;
//process image for blobs
bc.ProcessImage(channel);
channel.Dispose();
// if (motionDetector.ProcessFrame(image) > 0.02) {
// for (int i = 0; i < blobCountingObjectsProcessing.ObjectRectangles.Length; i++) {
Rectangle[] rectangles = bc.GetObjectsRectangles();
Blob[] blobs = bc.GetObjectsInformation();
for (int i = 0; i < bc.ObjectsCount; i++) {
Rectangle rectangle = rectangles[i];
int width = rectangle.Width;
int height = rectangle.Height;
// if (width < maxObjectSize && height < maxObjectSize && width > minObjectSize && height > minObjectSize) {
Drawing.Rectangle(image, rectangle, colorList[i % colorList.Length]);
if (i == 0) {
Position = GetCenterOfMass(image, rectangle);
Drawing.FillRectangle(image, rectangle, Color.BlanchedAlmond);
Drawing.FillRectangle(image, new Rectangle((int) Position.U - dotSize, (int) Position.V - dotSize, dotSize * 3, dotSize * 3), Color.Indigo);
}
// }
}
// }
Image = image.ToManagedImage();
// videoForm.ImageDestination.Image = image.ToManagedImage();
}
/// <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;
}
}
private void UpdateChannelPreviews(System.Drawing.Bitmap pic)
{
ExtractChannel r = new ExtractChannel(RGB.R);
ExtractChannel g = new ExtractChannel(RGB.G);
ExtractChannel b = new ExtractChannel(RGB.B);
System.Drawing.Bitmap rImage = null;
System.Drawing.Bitmap gImage = null;
System.Drawing.Bitmap bImage = null;
// apply the filter
if(pic != null)
{
rImage = r.Apply(pic);
gImage = g.Apply(pic);
bImage = b.Apply(pic);
}
else
{
rImage = r.Apply(mainPhoto);
gImage = g.Apply(mainPhoto);
bImage = b.Apply(mainPhoto);
}
RedChannelbmp = ToBitmapImage(rImage);
GreenChannelbmp = ToBitmapImage(gImage);
BlueChannelbmp = ToBitmapImage(bImage);
}
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;
}
}