LambdaConnectednessCommand Class

Summary

Performs image segmentation using a special region-growing algorithm called Lambda Connectedness.

Syntax

Objective-C

C++/CLI

Java

Python

public class LambdaConnectednessCommand : RasterCommand

@interface LTLambdaConnectednessCommand : LTRasterCommand

public class LambdaConnectednessCommand 
    extends RasterCommand

public ref class LambdaConnectednessCommand : public RasterCommand

class LambdaConnectednessCommand(RasterCommand):

Remarks

Lambda-connectedness is a technique used to find the connectivity between an image's pixels and then clusters them into groups.
Low values for lambda can result in one region.
High values for lambda can result in an over-segmented image.
This function 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.
This command supports signed/unsigned images.

Lambda Connectedness Function - Before

Lambda Connectedness Function - After

View additional platform support for this Lambda Connectedness function.

Example

Java

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:\LEADTOOLS23\Resources\Images"; 
}

 
import java.io.File; 
import java.io.IOException; 
 
import org.junit.*; 
import org.junit.Test; 
import org.junit.runner.JUnitCore; 
import org.junit.runner.Result; 
import org.junit.runner.notification.Failure; 
import static org.junit.Assert.*; 
 
import leadtools.*; 
import leadtools.codecs.*; 
import leadtools.imageprocessing.core.LambdaConnectednessCommand; 
 
 
public void lambdaConnectednessCommandExample() { 
   String LEAD_VARS_IMAGES_DIR = "C:\\LEADTOOLS23\\Resources\\Images"; 
 
   RasterCodecs codecs = new RasterCodecs(); 
   codecs.setThrowExceptionsOnInvalidImages(true); 
 
   // Load an image 
   RasterImage image = codecs.load(combine(LEAD_VARS_IMAGES_DIR, "NaturalFruits.jpg")); 
 
   // Prepare the command 
   LambdaConnectednessCommand command = new LambdaConnectednessCommand(); 
   command.setLambda(985); 
   assertTrue(command.getLambda() == 985); 
 
   // Apply 
   command.run(image); 
 
   // Save the image 
   String outputFileName = combine(LEAD_VARS_IMAGES_DIR, "lambda_result"); 
   codecs.save(image, outputFileName, RasterImageFormat.JPEG, 0); 
 
   assertTrue(new File(outputFileName).exists()); 
   System.out.printf("Command run, image saved to %s", outputFileName); 
}