private void ApplyFilter(ConvolutionBase2D kernel) { // Convert the original image to grayscale Convolution2D image = GetOriginalImageGrays(); if (image == null) { // The original image is empty return; } Convolution2D filtered = null; if (kernel is Convolution2D) { #region Single Convolution2D kernelSingle = (Convolution2D)kernel; // This window builds kernels without gain or iterations, so make a clone with those tacked on Convolution2D kernelFinal = new Convolution2D( kernelSingle.Values, kernelSingle.Width, kernelSingle.Height, kernelSingle.IsNegPos, trkGain.Value, Convert.ToInt32(trkIterations.Value), chkExpandBorder.IsChecked.Value); filtered = Convolutions.Convolute(image, kernelFinal); if (chkSubtract.IsChecked.Value) { filtered = Convolutions.Subtract(image, filtered); } #endregion } else if (kernel is ConvolutionSet2D) { #region Set ConvolutionSet2D kernelSet = (ConvolutionSet2D)kernel; filtered = Convolutions.Convolute(image, kernelSet); #endregion } else { throw new ArgumentException("Unknown type of kernel: " + kernel.GetType().ToString()); } // Show Filtered modifiedImage.Source = Convolutions.GetBitmap(filtered, (ConvolutionResultNegPosColoring)cboEdgeColors.SelectedValue); }