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";
}