/// <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();
}
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();
}
