Performs image segmentation and color reduction using the K-means algorithm.
public class KMeansCommand : RasterCommand
Public Class KMeansCommand
Inherits RasterCommand
@interface LTKMeansCommand : LTRasterCommand
public class KMeansCommand extends RasterCommand
public ref class KMeansCommand : public RasterCommand
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
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
Help Collections
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Supported Platforms
.NET, Java, Android, and iOS/macOS Assemblies
Imaging, Medical, and Document
C API/C++ Class Libraries
Imaging, Medical, and Document
HTML5 JavaScript Libraries
Imaging, Medical, and Document
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