public void ShowHistogram(CVImage image, CVImage mask)
{
if (image == null)
{
return;
}
// split image into channels (b,g,r)
CVImage[] planes = image.Split();
// we will create a 1D histogram for every channel. each histogram will have
// 'numberOfBins' bins for its single dimension (ranged from 0 to 255).
int[] bins = { BinsPerChannel };
CVPair[] ranges = { new CVPair(0, 255) };
// calculate histogram for red, green and blue channels (seperately).
CVHistogram histoRed = planes[0].CalcHistogram(bins, ranges, mask);
CVHistogram histoBlue = planes[1].CalcHistogram(bins, ranges, mask);
CVHistogram histoGreen = planes[2].CalcHistogram(bins, ranges, mask);
// dispose of plane images.
foreach (CVImage img in planes)
{
img.Release();
}
// draw the three histograms.
DrawHistogram(bluePanel, histoBlue, 1);
DrawHistogram(greenPanel, histoGreen, 2);
DrawHistogram(redPanel, histoRed, 0);
histoBlue.Release();
histoGreen.Release();
histoRed.Release();
}
/// <summary>
/// Calculate the histogram for the region of interest and saves it under
/// initialHistogram.
/// </summary>
private void UpdateHistogram()
{
// release the previous histogram if any.
if (initialHistogram != null)
{
initialHistogram.Release();
}
// if there's no image, just return.
if (image == null)
{
return;
}
// we use symmetric bins and entire range.
int[] bpBins = { NumberOfBins, NumberOfBins, NumberOfBins };
CVPair[] bpRanges = { new CVPair(0, 255), new CVPair(0, 255), new CVPair(0, 255) };
// calculate histogram for region of interest and display it in panel.
image.RegionOfInterest = originalImage.SelectionRect;
this.initialHistogram = image.CalcHistogram(bpBins, bpRanges);
initHisto.ShowHistogram(image);
image.ResetROI();
ResetSegmentation();
RefreshImages();
}
private void video_SelectionChanged(object sender, EventArgs f)
{
if (videoPlayer.LastFrame == null)
{
return;
}
using (CVImage region = videoPlayer.LastFrame.CopyRegion(video.SelectionRect))
{
selectionHistogram = region.CalcHistogram(30);
}
ProcessRegionGrowing();
}
private void meanShiftNoMask_SelectionChanged(object sender, EventArgs e)
{
using (CVImage frame = videoPlayer.LastFrame.CopyRegion(meanShiftNoMask.SelectionRect))
{
if (histNoMask != null)
{
histNoMask.Dispose();
}
histNoMask = frame.CalcHistogram(Bins);
noMaskHist.BinsPerChannel = Bins;
noMaskHist.ShowHistogram(frame);
}
NextFrame(false);
}
void DrawHistogram(PictureBox window, CVHistogram histo, int channelIdx)
{
int imageWidth = window.Width;
int imageHeight = window.Height;
int bins = histo.BinSizes[0];
int binWidth = imageWidth / bins;
if (binWidth <= 0)
{
binWidth = 1;
}
CVPair minMax = histo.MinMaxValue;
CVImage outputImage = new CVImage(imageWidth, imageHeight, CVDepth.Depth8U, 3);
outputImage.Zero();
for (int bin = 0; bin < bins; bin++)
{
double binValue = histo[bin];
byte level = (byte)CVUtils.Round(binValue * 255 / minMax.Second);
byte binHeight = (byte)CVUtils.Round(binValue * imageHeight / minMax.Second);
byte[] color = new byte[3];
color[channelIdx] = (byte)(((double)bin / (double)bins) * 255);
byte[] markerColor = new byte[3];
markerColor[channelIdx] = level;
Color colColor = Color.FromArgb(color[2], color[1], color[0]);
Color colMarker = Color.FromArgb(markerColor[2], markerColor[1], markerColor[0]);
outputImage.DrawRectangle(new Rectangle(bin * binWidth, imageHeight - binHeight, binWidth - 1, binHeight), colColor);
outputImage.DrawRectangle(new Rectangle(bin * binWidth, imageHeight - binHeight, binWidth - 1, binHeight), colMarker);
outputImage.DrawRectangle(new Rectangle(bin * binWidth, imageHeight - binHeight, 1, binHeight), colMarker);
}
window.Image = outputImage.ToBitmap();
outputImage.Release();
}
private void CalculateMaskedHistogram()
{
if (videoPlayer.LastFrame == null)
{
return;
}
using (CVImage frame = videoPlayer.LastFrame.CopyRegion(meanShift.SelectionRect))
{
// create a list of real fg and bg markers.
List <Point> realFg = new List <Point>(meanShift.GetMarkerLocations(Color.Blue));
List <Point> realBg = new List <Point>(meanShift.GetMarkerLocations(Color.Red));
// create the histogram mask.
using (CVImage mask = MaskedHistogram.PrepareMask(frame, realFg.ToArray(), realBg.ToArray(), includeNeautral.Checked, ffThresh.Value))
{
maskPicture.Image = mask.ToBitmap();
// show mask histogram to user interface.
maskHistogram.BinsPerChannel = Bins;
maskHistogram.ShowHistogram(frame, mask);
// calculate new histogram (dispose old one if exist).
if (hist != null)
{
hist.Dispose();
}
hist = frame.CalcHistogram(Bins, mask);
// apply mask to overlay (just for ui).
using (CVImage masked = MaskedHistogram.ApplyMask(frame, mask))
{
maskOverlay.Image = masked.ToBitmap();
}
}
}
NextFrame(false);
}
void DrawHistogram(PictureBox window, CVHistogram histo, int channelIdx)
{
int imageWidth = window.Width;
int imageHeight = window.Height;
int bins = histo.BinSizes[0];
int binWidth = imageWidth / bins;
if (binWidth <= 0) binWidth = 1;
CVPair minMax = histo.MinMaxValue;
CVImage outputImage = new CVImage(imageWidth, imageHeight, CVDepth.Depth8U, 3);
outputImage.Zero();
for (int bin = 0; bin < bins; bin++)
{
double binValue = histo[bin];
byte level = (byte)CVUtils.Round(binValue * 255 / minMax.Second);
byte binHeight = (byte)CVUtils.Round(binValue * imageHeight / minMax.Second);
byte[] color = new byte[3];
color[channelIdx] = (byte)(((double)bin / (double)bins) * 255);
byte[] markerColor = new byte[3];
markerColor[channelIdx] = level;
Color colColor = Color.FromArgb(color[2], color[1], color[0]);
Color colMarker = Color.FromArgb(markerColor[2], markerColor[1], markerColor[0]);
outputImage.DrawRectangle(new Rectangle(bin * binWidth, imageHeight - binHeight, binWidth - 1, binHeight), Color.White /* colColor */);
outputImage.DrawRectangle(new Rectangle(bin * binWidth, imageHeight - binHeight, binWidth - 1, 1), colMarker);
outputImage.DrawRectangle(new Rectangle(bin * binWidth, imageHeight - binHeight, 1, binHeight), colMarker);
}
window.Image = outputImage.ToBitmap();
outputImage.Release();
}
private void UpdateHistogram()
{
int numberOfBins;
if (!int.TryParse(binSize.Text, out numberOfBins))
{
statusBar.Text = string.Format("Number of bins '{0}' is not an integer.", binSize.Text);
return;
}
if (image == null)
{
return;
}
//image.RegionOfInterest = originalImage.SelectionRect;
// split image into channels (b,g,r)
CVImage[] planes = image.Split();
// we will create a 1D histogram for every channel. each histogram will have
// 'numberOfBins' bins for its single dimension (ranged from 0 to 255).
int[] bins = { numberOfBins };
CVPair[] ranges = { new CVPair(0, 255) };
// calculate histogram for red, green and blue channels (seperately).
CVHistogram histoRed = planes[0].CalcHistogram(bins, ranges);
CVHistogram histoBlue = planes[1].CalcHistogram(bins, ranges);
CVHistogram histoGreen = planes[2].CalcHistogram(bins, ranges);
// draw the three histograms.
DrawHistogram(bluePanel, histoBlue, 1);
DrawHistogram(greenPanel, histoGreen, 2);
DrawHistogram(redPanel, histoRed, 0);
// resize & put original image onto form.
CVImage output = new CVImage(image.Width, image.Height, CVDepth.Depth8U, 3);
CVImage emptyPlane = new CVImage(image.Width, image.Height, CVDepth.Depth8U, 1);
emptyPlane.Zero();
CVImage[] images = new CVImage[3];
images[0] = images[1] = images[2] = emptyPlane;
if (blueCheck.Checked)
{
images[0] = planes[0];
}
if (greenCheck.Checked)
{
images[1] = planes[1];
}
if (redCheck.Checked)
{
images[2] = planes[2];
}
output.Merge(images);
originalImage.Image = output.ToBitmap();
// dispose of plane images.
foreach (CVImage img in planes)
{
img.Dispose();
}
statusBar.Text = "Ready";
}
