MeanShiftCommand Class

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

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

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

'Usage
 
Dim instance As MeanShiftCommand

public sealed class MeanShiftCommand : Leadtools.ImageProcessing.IRasterCommand

function Leadtools.ImageProcessing.Core.MeanShiftCommand()

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

For keeping details while removing noise, low ColorDistance values should be applied.
This command 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 only in the Document/Medical toolkits.
This command does not support 32-bit grayscale 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 MeanShiftCommandExample()
     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 MeanShiftCommand = New MeanShiftCommand
   'Apply 
   command.Radius = 5
   command.ColorDistance = 10
   command.Run(leadImage)

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

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

    // Prepare the command
    MeanShiftCommand command = new MeanShiftCommand();
    //Apply 
    command.Radius = 5;
    command.ColorDistance = 10;
    command.Run(image);

}

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

function MeansShiftCommandExample()
{
   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
      with (Leadtools.ImageProcessing.Core) {
         var command = new MeanShiftCommand();
         //Apply 
         command.radius = 5;
         command.colorDistance = 10;
         command.run(image);
      }
   });
}

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

        
public async Task MeansShiftCommandExample()
{
    // 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
    MeanShiftCommand command = new MeanShiftCommand();
    //Apply 
    command.Radius = 5;
    command.ColorDistance = 10;
    command.Run(image);

}

Target Platforms

Reference