Divides the image into segments where each segment's pixels have approximately the same color (homogenous color). This command is available in the Imaging Pro and above toolkits.
public class SegmentCommand : RasterCommand
Public Class SegmentCommand
Inherits RasterCommand
@interface LTSegmentCommand : LTRasterCommand
public class SegmentCommand extends RasterCommand
public ref class SegmentCommand : public RasterCommand
For more information, refer to Introduction to Image Processing With LEADTOOLS. For more information, refer to Applying Artistic Effects.
Run the SegmentCommand on an image.
using Leadtools;
using Leadtools.Codecs;
using Leadtools.ImageProcessing.Color;
public void SegmentCommandExample()
{
// Load an image
RasterCodecs codecs = new RasterCodecs();
codecs.ThrowExceptionsOnInvalidImages = true;
RasterImage image = codecs.Load(Path.Combine(LEAD_VARS.ImagesDir, "sample5.cmp"));
// Prepare the command
SegmentCommand command = new SegmentCommand();
command.Threshold = 20;
command.Flags = SegmentCommandFlags.Rgb;
//segment the image.
command.Run(image);
codecs.Save(image, Path.Combine(LEAD_VARS.ImagesDir, "Result.jpg"), RasterImageFormat.Jpeg, 24);
}
static class LEAD_VARS
{
public const string ImagesDir = @"C:\Users\Public\Documents\LEADTOOLS Images";
}
Imports Leadtools
Imports Leadtools.Codecs
Imports Leadtools.ImageProcessing.Color
Public Sub SegmentCommandExample()
Dim codecs As New RasterCodecs()
codecs.ThrowExceptionsOnInvalidImages = True
Dim leadImage As RasterImage = codecs.Load(Path.Combine(LEAD_VARS.ImagesDir, "sample5.cmp"))
' Prepare the command
Dim command As SegmentCommand = New SegmentCommand
command.Threshold = 20
command.Flags = SegmentCommandFlags.Rgb
'segment the image.
command.Run(leadImage)
codecs.Save(leadImage, Path.Combine(LEAD_VARS.ImagesDir, "Result.jpg"), RasterImageFormat.Jpeg, 24)
End Sub
Public NotInheritable Class LEAD_VARS
Public Const ImagesDir As String = "C:\Users\Public\Documents\LEADTOOLS Images"
End Class
c#[Silverlight C# Example]
using Leadtools;
using Leadtools.Codecs;
using Leadtools.ImageProcessing.Color;
using Leadtools.Examples;
public void SegmentCommandExample(RasterImage image, Stream outStream)
{
// Prepare the command
SegmentCommand command = new SegmentCommand();
command.Threshold = 20;
command.Flags = SegmentCommandFlags.Rgb;
//segment the image.
command.Run(image);
// Save result image
RasterCodecs codecs = new RasterCodecs();
codecs.Save(image, outStream, RasterImageFormat.Jpeg, 24);
image.Dispose();
}
vb[Silverlight VB Example]
Imports Leadtools
Imports Leadtools.Codecs
Imports Leadtools.ImageProcessing.Color
Public Sub SegmentCommandExample(ByVal image As RasterImage, ByVal outStream As Stream)
' Prepare the command
Dim command As SegmentCommand = New SegmentCommand()
command.Threshold = 20
command.Flags = SegmentCommandFlags.Rgb
'segment the image.
command.Run(image)
' Save result image
Dim codecs As RasterCodecs = New RasterCodecs()
codecs.Save(image, outStream, RasterImageFormat.Jpeg, 24)
image.Dispose()
End Sub
Leadtools.ImageProcessing.Color Namespace
Introduction to Image Processing With LEADTOOLS
HistogramContrastCommand Class
Leadtools.ImageProcessing.FillCommand
Leadtools.ImageProcessing.Effects.SharpenCommand
Leadtools.ImageProcessing.Effects.MosaicCommand
Leadtools.ImageProcessing.Effects.EmbossCommand
Leadtools.ImageProcessing.Core.MedianCommand
Leadtools.ImageProcessing.Effects.AddNoiseCommand
Leadtools.ImageProcessing.Effects.SpatialFilterCommand
Leadtools.ImageProcessing.Effects.BinaryFilterCommand
Leadtools.ImageProcessing.Core.MaximumCommand
Leadtools.ImageProcessing.Core.MinimumCommand
Leadtools.ImageProcessing.Effects.OilifyCommand
Leadtools.ImageProcessing.Core.WindowLevelCommand
ChangeHueSaturationIntensityCommand Class
Leadtools.ImageProcessing.Core.DiscreteFourierTransformCommand
Leadtools.ImageProcessing.Effects.DirectionEdgeStatisticalCommand
Leadtools.ImageProcessing.Core.FastFourierTransformCommand
Leadtools.ImageProcessing.Core.FrequencyFilterCommand
Leadtools.ImageProcessing.Core.FrequencyFilterMaskCommand
MathematicalFunctionCommand Class
Leadtools.ImageProcessing.SpecialEffects.RevEffectCommand
Leadtools.ImageProcessing.Core.SubtractBackgroundCommand
Leadtools.ImageProcessing.Effects.UserFilterCommand
Leadtools.ImageProcessing.Effects.HighPassCommand
Leadtools.ImageProcessing.SpecialEffects.BricksTextureCommand
Leadtools.ImageProcessing.SpecialEffects.CanvasCommand
Leadtools.ImageProcessing.SpecialEffects.CloudsCommand
Leadtools.ImageProcessing.SpecialEffects.ColoredBallsCommand
Leadtools.ImageProcessing.SpecialEffects.DiffuseGlowCommand
Leadtools.ImageProcessing.Effects.DisplacementCommand
Leadtools.ImageProcessing.SpecialEffects.FragmentCommand
Leadtools.ImageProcessing.Core.HalfTonePatternCommand
Leadtools.ImageProcessing.Effects.MaskConvolutionCommand
Leadtools.ImageProcessing.SpecialEffects.MosaicTilesCommand
Leadtools.ImageProcessing.Effects.OffsetCommand
Leadtools.ImageProcessing.SpecialEffects.PerspectiveCommand
Leadtools.ImageProcessing.SpecialEffects.PlasmaCommand
Leadtools.ImageProcessing.SpecialEffects.PointillistCommand
Leadtools.ImageProcessing.SpecialEffects.RomanMosaicCommand
Help Collections
Raster .NET | C API | C++ Class Library | HTML5 JavaScript
Document .NET | C API | C++ Class Library | HTML5 JavaScript
Medical .NET | C API | C++ Class Library | HTML5 JavaScript
Medical Web Viewer .NET
Multimedia
Direct Show .NET | C API | Filters
Media Foundation .NET | C API | Transforms
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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