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MeanShiftCommand Class

Summary
Performs a detail preserving noise reduction.
Syntax
C#
C++/CLI
Python
public class MeanShiftCommand : RasterCommand 
public ref class MeanShiftCommand : public RasterCommand   
class MeanShiftCommand(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.

Mean Shift Function - Before

Mean Shift Function - Before

Mean Shift Function - After

Mean Shift Function - After

View additional platform support for this Mean Shift function.

Example

Runs the MeanShiftCommand on the Image.

C#
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:\LEADTOOLS23\Resources\Images"; 
} 
Requirements

Target Platforms

Help Version 23.0.2024.3.3
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Leadtools.ImageProcessing.Core Assembly
Products | Support | Contact Us | Intellectual Property Notices
© 1991-2023 LEAD Technologies, Inc. All Rights Reserved.