An iterative filter that performs tensor-guided anisotropic diffusion in order to reduce noise while preserving the edges in the image.
public class TADAnisotropicDiffusionCommand : RasterCommand Public Class TADAnisotropicDiffusionCommandInherits Leadtools.Imageprocessing.Leadtools.ImageProcessing.RasterCommandImplements Leadtools.Imageprocessing.Leadtools.ImageProcessing.IRasterCommand
public sealed class TADAnisotropicDiffusionCommand : Leadtools.Imageprocessing.Leadtools.ImageProcessing.IRasterCommand @interface LTTADAnisotropicDiffusionCommand : LTRasterCommand public class TADAnisotropicDiffusionCommand extends RasterCommand function Leadtools.ImageProcessing.Core.TADAnisotropicDiffusionCommand() public ref class TADAnisotropicDiffusionCommand : public Leadtools.Imageprocessing.Leadtools.ImageProcessing.RasterCommand, Leadtools.Imageprocessing.Leadtools.ImageProcessing.IRasterCommand Three classes implement anisotropic diffusion:
Use the TADAnisotropicDiffusionCommand to reduce noise in images (more specifically, medical images). Performance is better than that of the Median or Gaussian Filters.
using Leadtools;using Leadtools.Codecs;using Leadtools.ImageProcessing.Core;public void TADAnisotropicDiffusionCommandExample(){// Load an imageRasterCodecs codecs = new RasterCodecs();codecs.ThrowExceptionsOnInvalidImages = true;RasterImage image = codecs.Load(Path.Combine(LEAD_VARS.ImagesDir, "IMAGE3.dcm"));// Prepare the commandTADAnisotropicDiffusionCommand command = new TADAnisotropicDiffusionCommand();// Applycommand.Iterations = 10;command.Lambda = 14;command.Kappa = 30;command.Flags = TADAnisotropicDiffusionFlags.QuadraticFlux;command.Run(image);}static class LEAD_VARS{public const string ImagesDir = @"C:\Users\Public\Documents\LEADTOOLS Images";}
Imports LeadtoolsImports Leadtools.CodecsImports Leadtools.ImageProcessing.CoreLeadtools.Examples.Support.SetLicense()Public Sub TADAnisotropicDiffusionCommandExample()' Load an imageDim codecs As RasterCodecs = New RasterCodecs()codecs.ThrowExceptionsOnInvalidImages = TrueDim image As RasterImage = codecs.Load(Path.Combine(LEAD_VARS.ImagesDir, "IMAGE3.dcm"))' Prepare the commandDim command As TADAnisotropicDiffusionCommand = New TADAnisotropicDiffusionCommand()' Applycommand.Iterations = 10command.Lambda = 14command.Kappa = 30command.Flags = TADAnisotropicDiffusionFlags.QuadraticFluxcommand.Run(image)End SubPublic NotInheritable Class LEAD_VARSPublic Const ImagesDir As String = "C:\Users\Public\Documents\LEADTOOLS Images"End Class
TADAnisotropicDiffusionCommand Members
Leadtools.ImageProcessing.Core Namespace
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