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"; }