TissueEqualizeCommand Class

Summary

This function performs an Equalization between the Hard Tissue and the Soft Tissue in X-Ray Images.

Syntax

Objective-C

C++/CLI

Java

Python

public class TissueEqualizeCommand : RasterCommand

@interface LTTissueEqualizeCommand : LTRasterCommand

public class TissueEqualizeCommand 
    extends RasterCommand

public ref class TissueEqualizeCommand : public RasterCommand

class TissueEqualizeCommand(RasterCommand):

Remarks

Using this function improves the results in processing and recognition of Medical X-Ray and CT Images.
This function does not support 32-bit grayscale images. It returns the error code ERROR_GRAY32_UNSUPPORTED if a 32-bit grayscale image is passed to this function.

Options:

Intensification of X-Ray Image
Simplification of X-Ray Image

Tissue Equalize Function - Before

Tissue Equalize Function - After

View additional platform support for this Tissue Equalize function.

Example

Runs the TissueEqualizeCommand on the Image.

Java

using Leadtools; 
using Leadtools.Codecs; 
using Leadtools.ImageProcessing.Core; 
 
public void TissueEqualizeCommandExample() 
{ 
   // Load an image 
   RasterCodecs codecs = new RasterCodecs(); 
   codecs.ThrowExceptionsOnInvalidImages = true; 
 
   RasterImage image = codecs.Load(Path.Combine(LEAD_VARS.ImagesDir, "Master.jpg")); 
 
   // Prepare the command 
   TissueEqualizeCommand command = new TissueEqualizeCommand(); 
   //Apply  
   command.Flags = TissueEqualizeCommandFlags.UseIntensifyOption; 
   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.assertTrue; 
 
import leadtools.*; 
import leadtools.codecs.*; 
import leadtools.imageprocessing.core.*; 
 
 
public void tissueEqualizeCommandExample() { 
   final String LEAD_VARS_IMAGES_DIR = "C:\\LEADTOOLS23\\Resources\\Images"; 
 
   // Load an image 
   RasterCodecs codecs = new RasterCodecs(); 
   codecs.setThrowExceptionsOnInvalidImages(true); 
 
   RasterImage image = codecs.load(combine(LEAD_VARS_IMAGES_DIR, "Master.jpg")); 
   String outputFileNameName = combine(LEAD_VARS_IMAGES_DIR, "result_master.jpg"); 
 
   // Prepare the command 
   TissueEqualizeCommand command = new TissueEqualizeCommand(); 
 
   // Apply 
   command.setFlags(TissueEqualizeCommandFlags.USE_INTENSIFY_OPTION.getValue()); 
 
   int change = command.run(image); 
   assertTrue(change != RasterImageChangedFlags.NONE); 
 
   // Save your image 
   codecs.save(image, outputFileNameName, RasterImageFormat.JPEG, 0); 
   System.out.println("Command run, file saved to " + outputFileNameName); 
}