AnisotropicDiffusionCommand Class

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

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

'Declaration
 
Public Class AnisotropicDiffusionCommand 
   Inherits Leadtools.ImageProcessing.RasterCommand
   Implements Leadtools.ImageProcessing.IRasterCommand

'Usage
 
Dim instance As AnisotropicDiffusionCommand

public sealed class AnisotropicDiffusionCommand : Leadtools.ImageProcessing.IRasterCommand

function Leadtools.ImageProcessing.Core.AnisotropicDiffusionCommand()

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

This function is dedicated to reduction of noise in images, more specifically medical images. Images with a great amount of periodic noise in them are better suited to be clarified using this filter.
The number of iterations controls the number of times the filter will be performed on image. The lower the variable is, the faster the filter will perform. Higher iterations typically means clearer results, yet it depends on the maximum length of vectors that can be computed from the image to obtain the best results
The higher the time step variable is, the larger of a range of vectors is used for the next iteration, yet too high a value, will yield out of range results as it will exceed the maximum vectors at some spots
The variable update is very useful when using a large number of iterations on a large image, especially when the results are not known. This variable, updates the image every number Update iterations, thus the progress of the de-noising can be witnessed. If the image has a region, the function will be performed on the region only.
This function supports 12 and 16-bit grayscale and 48 and 64-bit color images. Support for 12 and 16-bit grayscale and 48 and 64-bit color images is available in the Document and Medical Imaging toolkits.s

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

Copy Code

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

Public Sub AnisotropicDiffusionCommandExample()
   Dim codecs As New RasterCodecs()
   codecs.ThrowExceptionsOnInvalidImages = True

   Dim leadImage As RasterImage = codecs.Load(Path.Combine(LEAD_VARS.ImagesDir, "Master.jpg"))

   ' Prepare the command
   Dim command As AnisotropicDiffusionCommand = New AnisotropicDiffusionCommand
   'Apply 
   command.Iterations = 20
   command.Smoothing = 1
   command.TimeStep = 100.0F
   command.MinVariation = 0.5F
   command.MaxVariation = 0.8F
   command.EdgeHeight = 4.0F
   command.Update = 10


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 AnisotropicDiffusionCommandExample()
{
   // Load an image
   RasterCodecs codecs = new RasterCodecs();
   codecs.ThrowExceptionsOnInvalidImages = true;

   RasterImage image = codecs.Load(Path.Combine(LEAD_VARS.ImagesDir, "Master.jpg"));

   // Prepare the command
   AnisotropicDiffusionCommand command = new AnisotropicDiffusionCommand();
   //Apply 
   command.Iterations = 20;
   command.Smoothing = 1;
   command.TimeStep = 100.0f;
   command.MinVariation = 0.5f;
   command.MaxVariation = 0.8f;
   command.EdgeHeight = 4.0f;
   command.Update = 10;
   command.Run(image);
}

static class LEAD_VARS
{
public const string ImagesDir = @"C:\Users\Public\Documents\LEADTOOLS Images";
}

function AnisotropicDiffusionCommandExample()
{
   // Load an image
   var codecs = new Leadtools.Codecs.RasterCodecs();
   codecs.ThrowExceptionsOnInvalidImages = true;

   // Load the image
   var srcFileName = "Assets\\Image1.cmp";
   return Tools.AppInstallFolder().getFileAsync(srcFileName).then(function (loadFile) {
      return codecs.loadAsync(Leadtools.LeadStreamFactory.create(loadFile));
   }).then(function (image){
      // Prepare the command
      var command = new Leadtools.ImageProcessing.Core.AnisotropicDiffusionCommand();
      //Apply 
      command.iterations = 20;
      command.smoothing = 1;
      command.timeStep = 100.0;
      command.minVariation = 0.5;
      command.maxVariation = 0.8;
      command.edgeHeight = 4.0;
      command.update = 10;
      command.run(image);
   });
}

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

      
public async Task AnisotropicDiffusionCommandExample()
{
   // Load an image
   RasterCodecs codecs = new RasterCodecs();
   codecs.ThrowExceptionsOnInvalidImages = true;
   // Load the image
   string srcFileName = @"Assets\Image1.cmp";
   StorageFile loadFile = await Tools.AppInstallFolder.GetFileAsync(srcFileName);
   RasterImage image = await codecs.LoadAsync(LeadStreamFactory.Create(loadFile));

   // Prepare the command
   AnisotropicDiffusionCommand command = new AnisotropicDiffusionCommand();
   //Apply 
   command.Iterations = 20;
   command.Smoothing = 1;
   command.TimeStep = 100.0f;
   command.MinVariation = 0.5f;
   command.MaxVariation = 0.8f;
   command.EdgeHeight = 4.0f;
   command.Update = 10;
   command.Run(image);
}

Target Platforms

Reference