TADAnisotropicDiffusionFlags Enumeration

Summary

Represents which type of flux to use when applying the Tensor-guided Anisotropic Diffusion filter.

Syntax

Objective-C

C++/CLI

Java

Python

public enum TADAnisotropicDiffusionFlags

typedef NS_OPTIONS(NSUInteger, LTTADAnisotropicDiffusionFlags)

public final class TADAnisotropicDiffusionFlags 
    extends java.lang.Enum<TADAnisotropicDiffusionFlags>

public enum class TADAnisotropicDiffusionFlags

class TADAnisotropicDiffusionFlags(Enum): 
   ExponentialFlux = 1 
   QuadraticFlux = 2

Members

Value	Member	Description
1	ExponentialFlux	Use exponential flux, which favors high contrast edges over low contrast ones.
2	QuadraticFlux	Use quadratic flux, which favors wide regions over smaller ones.

Remarks

The default value is TADAnisotropicDiffusionFlags::QuadraticFlux.

Example

Java

using Leadtools; 
using Leadtools.Codecs; 
using Leadtools.ImageProcessing.Core; 
 
public void TADAnisotropicDiffusionCommandExample() 
{ 
   // Load an image 
   RasterCodecs codecs = new RasterCodecs(); 
   codecs.ThrowExceptionsOnInvalidImages = true; 
 
   RasterImage image = codecs.Load(Path.Combine(LEAD_VARS.ImagesDir, "IMAGE3.dcm")); 
 
   // Prepare the command 
   TADAnisotropicDiffusionCommand command = new TADAnisotropicDiffusionCommand(); 
 
   // Apply 
   command.Iterations = 10; 
   command.Lambda = 14; 
   command.Kappa = 30; 
   command.Flags = TADAnisotropicDiffusionFlags.QuadraticFlux; 
   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 tadAnisotropicDiffusionCommandExample() { 
   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, "DICOM\\IMAGE3.dcm")); 
 
   // Prepare the command 
   TADAnisotropicDiffusionCommand command = new TADAnisotropicDiffusionCommand(); 
 
   // Apply 
   command.setIterations(10); 
   command.setLambda(14); 
   command.setKappa(30); 
   command.setFlags(TADAnisotropicDiffusionFlags.QUADRATIC_FLUX); 
   int change = command.run(image); 
   assertTrue(change != RasterImageChangedFlags.NONE); 
 
   codecs.save(image, combine(LEAD_VARS_IMAGES_DIR, "DICOM\\IMAGE3.dcm"), RasterImageFormat.JPEG, 24); 
   System.out.println("Command run and image saved to " + combine(LEAD_VARS_IMAGES_DIR, "DICOM\\IMAGE3.dcm")); 
}

Requirements

Target Platforms

Reference

Leadtools.ImageProcessing.Core Namespace

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Leadtools.ImageProcessing.Core Assembly

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Leadtools.ImageProcessing.Core Namespace

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