TADAnisotropicDiffusionCommand Class

C#
Visual Basic
WinRT C#
Java
Objective-C
WinRT JavaScript
C++

public class TADAnisotropicDiffusionCommand : Leadtools.ImageProcessing.RasterCommand, Leadtools.ImageProcessing.IRasterCommand

'Declaration

Public Class TADAnisotropicDiffusionCommand 
   Inherits Leadtools.ImageProcessing.RasterCommand
   Implements Leadtools.ImageProcessing.IRasterCommand

'Usage

Dim instance As TADAnisotropicDiffusionCommand

public sealed class TADAnisotropicDiffusionCommand : Leadtools.ImageProcessing.IRasterCommand

@interface LTTADAnisotropicDiffusionCommand : LTRasterCommand

public class TADAnisotropicDiffusionCommand extends RasterCommand

function Leadtools.ImageProcessing.Core.TADAnisotropicDiffusionCommand()

public ref class TADAnisotropicDiffusionCommand : public Leadtools.ImageProcessing.RasterCommand, Leadtools.ImageProcessing.IRasterCommand

Three classes implement anisotropic diffusion:
1. AnisotropicDiffusionCommand. The AnisotropiDiffusionCommand is a slower but more accurate version of SRADAnisotropDiffusionCommand.
2. SRADAnisotropicDiffusionCommand. In comparison with conventional anisotropic diffusion, with the the SRADAnisotropicDiffusionCommand uniform areas exhibit more smoothing and edges and features are preserved better.
3. TADAnisotropicDiffusionCommand. The TADAnisotropicDiffusionCommand employs an edge-seeking diffusion coefficient. Areas within regions are smoothed, but the edges are not affected.
Use the TADAnisotropicDiffusionCommand to reduce noise in images (more specifically, medical images). Performance is better than that of the Median or Gaussian Filters.
The number of iterations controls the number of times the filter will be applied to an image. The lower the number of iterations, the faster the filter will perform. Higher iterations typically mean clearer results.
This command can only process the entire image. It does not support regions.
This command supports 8, 16-bit grayscale images and 24, 32-bit colored images.
This command supports signed/unsigned images.

C#
Visual Basic
WinRT C#
WinRT JavaScript
Silverlight C#
Silverlight VB

Copy Code

Imports Leadtools
Imports Leadtools.Codecs
Imports Leadtools.ImageProcessing.Core

   
Public Sub TADAnisotropicDiffusionCommandExample()
   ' Load an image
   Dim codecs As RasterCodecs = New RasterCodecs()
   codecs.ThrowExceptionsOnInvalidImages = True
   Dim image As RasterImage = codecs.Load(Path.Combine(LEAD_VARS.ImagesDir, "IMAGE3.dcm"))

   ' Prepare the command
   Dim command As TADAnisotropicDiffusionCommand = New TADAnisotropicDiffusionCommand()

   ' Apply
   command.Iterations = 10
   command.Lambda = 14
   command.Kappa = 30
   command.Flags = TADAnisotropicDiffusionFlags.QuadraticFlux
   command.Run(image)
End Sub

Public NotInheritable Class LEAD_VARS
Public Const ImagesDir As String = "C:\Users\Public\Documents\LEADTOOLS Images"
End Class

using Leadtools;
using Leadtools.Codecs;
using Leadtools.ImageProcessing.Core;

      
public void TADAnisotropicDiffusionCommandExample()
{
    // Load an image
    RasterCodecs codecs = new RasterCodecs();
    codecs.ThrowExceptionsOnInvalidImages = true;
    RasterImage image = codecs.Load(Path.Combine(LEAD_VARS.ImagesDir, "IMAGE3.dcm"));

    // Prepare the command
    TADAnisotropicDiffusionCommand command = new TADAnisotropicDiffusionCommand();

    // Apply
    command.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";
}

Target Platforms

Reference

TADAnisotropicDiffusionCommand Members
Leadtools.ImageProcessing.Core Namespace
AnisotropicDiffusionCommand Class
SRADAnisotropicDiffusionCommand Class