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TADAnisotropicDiffusionFlags Enumeration

Summary
Represents which type of flux to use when applying the Tensor-guided Anisotropic Diffusion filter.
Syntax
C#
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
ValueMemberDescription
1ExponentialFlux Use exponential flux, which favors high contrast edges over low contrast ones.
2QuadraticFlux Use quadratic flux, which favors wide regions over smaller ones.
Remarks

The default value is TADAnisotropicDiffusionFlags::QuadraticFlux.

Example
C#
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

Help Version 23.0.2024.3.3
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© 1991-2024 LEAD Technologies, Inc. All Rights Reserved.

Leadtools.ImageProcessing.Core Assembly

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© 1991-2023 LEAD Technologies, Inc. All Rights Reserved.