KMeansCommand Class

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

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

'Declaration

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

'Usage

Dim instance As KMeansCommand

public sealed class KMeansCommand : Leadtools.ImageProcessing.IRasterCommand

@interface LTKMeansCommand : LTRasterCommand

public class KMeansCommand extends RasterCommand

function Leadtools.ImageProcessing.Core.KMeansCommand()

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

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.

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

Copy Code

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

   
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

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";
}

Target Platforms

Reference

KMeansCommand Members
Leadtools.ImageProcessing.Core Namespace
OtsuThresholdCommand Class
LambdaConnectednessCommand Class
ShrinkWrapCommand Class
WatershedCommand Class
GWireCommand Class