Performs image segmentation using a special region-growing algorithm called Lambda Connectedness.
public class LambdaConnectednessCommand : RasterCommand
Public Class LambdaConnectednessCommand
Inherits RasterCommand
@interface LTLambdaConnectednessCommand : LTRasterCommand
public class LambdaConnectednessCommand extends RasterCommand
public ref class LambdaConnectednessCommand : public RasterCommand
using Leadtools;
using Leadtools.Codecs;
using Leadtools.ImageProcessing.Core;
public void LambdaConnectednessCommandExample()
{
RasterCodecs codecs = new RasterCodecs();
codecs.ThrowExceptionsOnInvalidImages = true;
//Load an image
RasterImage image = codecs.Load(Path.Combine(LEAD_VARS.ImagesDir, @"ImageProcessingDemo\NaturalFruits.jpg"));
//Prepare the command
LambdaConnectednessCommand command = new LambdaConnectednessCommand();
command.Lambda = 985;
//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 LambdaConnectednessCommandExample()
Dim codecs As RasterCodecs = New RasterCodecs()
codecs.ThrowExceptionsOnInvalidImages = True
'Load an image
Dim image As RasterImage = codecs.Load(Path.Combine(LEAD_VARS.ImagesDir, "ImageProcessingDemo\\NaturalFruits.jpg"))
'Prepare the command
Dim command As LambdaConnectednessCommand = New LambdaConnectednessCommand()
command.Lambda = 950
'Apply
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
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