Method Main

Examples/CSharp/CannySegmentationLevelSetImageFilter.cs:29–124

(string[] args)

    public class Program
    {
        static void Main(string[] args)
        {
            if (args.Length < 8)
            {
                Console.WriteLine("Missing Parameters ");
                Console.WriteLine("Usage: " + System.AppDomain.CurrentDomain.FriendlyName +
                                  "inputImage initialModel outputImage cannyThreshold " +
                                  "cannyVariance advectionWeight initialModelIsovalue maximumIterations ");
                return;
            }

            string inputFilename = args[0];
            string initialModelFilename = args[1];

            string outputFilename = args[2];

            double cannyThreshold = double.Parse(args[3], CultureInfo.InvariantCulture);
            double cannyVariance = double.Parse(args[4], CultureInfo.InvariantCulture);
            double advectionWeight = double.Parse(args[5], CultureInfo.InvariantCulture);
            double intialModelIsovalue = double.Parse(args[6], CultureInfo.InvariantCulture);
            uint maxIterations = uint.Parse(args[7], CultureInfo.InvariantCulture);

            // Read input image

            SitkImage inputImage = SimpleITK.ReadImage(inputFilename, PixelId.sitkFloat32);
            SitkImage initialModel = SimpleITK.ReadImage(initialModelFilename, PixelId.sitkFloat32);

            //  The input image will be processed with a few iterations of
            //  feature-preserving diffusion.  We create a filter and set the
            //  appropriate parameters.

            GradientAnisotropicDiffusionImageFilter diffusion=new GradientAnisotropicDiffusionImageFilter();
            diffusion.SetConductanceParameter(1.0);
            diffusion.SetTimeStep(0.125);
            diffusion.SetNumberOfIterations(5);
            SitkImage diffusedImage=diffusion.Execute(inputImage);

            // As with the other ITK level set segmentation filters, the terms of the
            // CannySegmentationLevelSetImageFilter level set equation can be
            // weighted by scalars.  For this application we will modify the relative
            // weight of the advection term.  The propagation and curvature term weights
            // are set to their defaults of 0 and 1, respectively.

            CannySegmentationLevelSetImageFilter cannySegmentation = new CannySegmentationLevelSetImageFilter();
            cannySegmentation.SetAdvectionScaling(advectionWeight);
            cannySegmentation.SetCurvatureScaling(1.0);
            cannySegmentation.SetPropagationScaling(0.0);

            //  The maximum number of iterations is specified from the command line.
            //  It may not be desirable in some applications to run the filter to
            //  convergence.  Only a few iterations may be required.

            cannySegmentation.SetMaximumRMSError(0.01);
            cannySegmentation.SetNumberOfIterations(maxIterations);

            //  There are two important parameters in the
            //  CannySegmentationLevelSetImageFilter to control the behavior of the
            //  Canny edge detection.  The variance parameter controls the