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KMeansCommand Class

Summary

Performs image segmentation and color reduction using the K-means algorithm.

Syntax

Java

Objective-C

WinRT C#

C++

public class KMeansCommand : RasterCommand

Public Class KMeansCommand  
   Inherits Leadtools.Imageprocessing.Leadtools.ImageProcessing.RasterCommand 
   Implements Leadtools.Imageprocessing.Leadtools.ImageProcessing.IRasterCommand

public sealed class KMeansCommand : Leadtools.Imageprocessing.Leadtools.ImageProcessing.IRasterCommand

@interface LTKMeansCommand : LTRasterCommand

public class KMeansCommand extends RasterCommand

function Leadtools.ImageProcessing.Core.KMeansCommand()

public ref class KMeansCommand : public Leadtools.Imageprocessing.Leadtools.ImageProcessing.RasterCommand, Leadtools.Imageprocessing.Leadtools.ImageProcessing.IRasterCommand

Remarks

K-Means is an algorithm for analyzing data. Each observation gets placed in the cluster having the nearest mean.
The number of clusters returned are less than or equal to the number of input clusters.
If the image contains fewer clusters than the number of input clusters, this command will return the image colors in the OutCenters property.
This command can only process entire images. It does not support regions.
This command converts image to 8-bit grayscale.
This command supports signed/unsigned images.
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 in the Document/Medical Imaging toolkits.

Example

using Leadtools; 
using Leadtools.Codecs; 
using Leadtools.ImageProcessing.Core; 
 
public void KMeansCommandExample() 
{ 
   RasterCodecs codecs = new RasterCodecs(); 
   codecs.ThrowExceptionsOnInvalidImages = true; 
 
   //Load an image 
   RasterImage image = codecs.Load(Path.Combine(LEAD_VARS.ImagesDir, "cannon.jpg")); 
 
   //Prepare the command 
   KMeansCommand command = new KMeansCommand(); 
 
   command.Clusters = 7; 
   command.Type = KMeansCommandFlags.KMeans_Random; 
 
   //Apply  
   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 
      Leadtools.Examples.Support.SetLicense() 
 
Public Sub KMeansCommandExample() 
   Dim codecs As RasterCodecs = New RasterCodecs() 
   codecs.ThrowExceptionsOnInvalidImages = True 
 
   'Load an image 
   Dim image As RasterImage = codecs.Load(Path.Combine(LEAD_VARS.ImagesDir, "cannon.jpg")) 
 
   'Prepare the command 
   Dim command As KMeansCommand = New KMeansCommand() 
 
   'Apply  
   command.Clusters = 7 
   command.Type = KMeansCommandFlags.KMeans_Random 
   command.Run(image) 
End Sub 
 
Public NotInheritable Class LEAD_VARS 
   Public Const ImagesDir As String = "C:\Users\Public\Documents\LEADTOOLS Images" 
End Class