MeanShiftCommand Class

Summary

Performs a detail preserving noise reduction.

Syntax

C++

public class MeanShiftCommand : RasterCommand

Public Class MeanShiftCommand  
   Inherits RasterCommand

public ref class MeanShiftCommand : public RasterCommand

Remarks

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.

Example

Runs the MeanShiftCommand on the Image.

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"; 
}

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