LevelsetCommand Class

Summary

Performs semi-automatic segmentation (using the Levelset algorithm) by shrinking or expanding a contour represented by a region to the objects in the image.

Syntax

Objective-C

C++/CLI

Java

Python

public class LevelsetCommand : RasterCommand

@interface LTLevelsetCommand : LTRasterCommand

public class LevelsetCommand 
    extends RasterCommand

public ref class LevelsetCommand : public RasterCommand

class LevelsetCommand(RasterCommand):

Remarks

If the image has no region this command assumes a rectangular region that covers the image.
The Levelset algorithm finds the best-fitting contour that encapsulates the object.
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.

Levelset Region Function - Before

Levelset Region Function - After

View additional platform support for this Levelset Region function.

Example

Java

using Leadtools; 
using Leadtools.Codecs; 
using Leadtools.ImageProcessing.Core; 
 
public void LevelsetCommandExample() 
{ 
   RasterCodecs codecs = new RasterCodecs(); 
   codecs.ThrowExceptionsOnInvalidImages = true; 
 
   //Load an image 
   RasterImage image = codecs.Load(Path.Combine(LEAD_VARS.ImagesDir, "IMAGE3.dcm")); 
 
   //Add a region to the image from which to start the level set function. 
   LeadRect region = new LeadRect(200, 200, 100, 50); 
   image.AddRectangleToRegion(null, region, RasterRegionCombineMode.Set); 
 
   //Prepare the command 
   LevelsetCommand command = new LevelsetCommand(); 
 
   command.LambdaIn = 1; 
   command.LambdaOut = 1; 
 
   //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.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.LevelsetCommand; 
 
 
public void levelsetCommandExample() { 
   final 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, "DICOM\\IMAGE3.dcm")); 
 
   // Add a region to the image from which to start the level set function. 
   LeadRect region = new LeadRect(200, 200, 100, 50); 
   image.addRectangleToRegion(null, region, RasterRegionCombineMode.SET); 
 
   // Prepare the command 
   LevelsetCommand command = new LevelsetCommand(); 
 
   command.setLambdaIn(1); 
   command.setLambdaOut(1); 
 
   // Apply 
   command.run(image); 
   codecs.save(image, combine(LEAD_VARS_IMAGES_DIR, "Result.jpg"), RasterImageFormat.JPEG, 24); 
 
   assertTrue(new File(combine(LEAD_VARS_IMAGES_DIR, "Result.jpg")).exists()); 
   System.out.println("Command run and image saved to " + combine(LEAD_VARS_IMAGES_DIR, "Result.jpg")); 
}