TADAnisotropicDiffusionCommand Constructor(int,int,int,TADAnisotropicDiffusionFlags)

Summary

Initializes a new TADAnisotropicDiffusionCommand class object with explicit parameters.

Syntax

Objective-C

C++/CLI

Java

Python

public TADAnisotropicDiffusionCommand( 
   int iterations, 
   int lambda, 
   int kappa, 
   TADAnisotropicDiffusionFlags flags 
)

- (instancetype)initWithIterations:(NSInteger)iterations lambda:(NSInteger)lambda kappa:(NSInteger)kappa flags:(LTTADAnisotropicDiffusionFlags)flags NS_DESIGNATED_INITIALIZER;

public TADAnisotropicDiffusionCommand( 
   int iterations, 
   int lambda, 
   int kappa, 
   TADAnisotropicDiffusionFlags flags 
);

public: 
TADAnisotropicDiffusionCommand(  
   int iterations, 
   int lambda, 
   int kappa, 
   TADAnisotropicDiffusionFlags flags 
)

__init__(self,iterations,lambda,kappa,flags) # Overloaded constructor

Parameters

iterations
Number of iterations the filter will perform. The default value is 10.

lambda
Integration constant. The default value is 14.

kappa
Gradient modulus threshold that controls the conduction. The default value is 30.

flags
Conduction coefficient functions. The default value is TADAnisotropicDiffusionFlags::QuadraticFlux.

Example

Java

using Leadtools; 
using Leadtools.Codecs; 
using Leadtools.ImageProcessing.Core; 
 
public void TADAnisotropicDiffusionConstructorExample() 
{ 
   // 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(10, 14, 30, TADAnisotropicDiffusionFlags.QuadraticFlux); 
   // Apply TAD Anisotropic Diffusion filter  
   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 tadAnisotropicDiffusionConstructorExample() { 
   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(10, 14, 30, 
         TADAnisotropicDiffusionFlags.QUADRATIC_FLUX); 
   // Apply TAD Anisotropic Diffusion filter 
   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

TADAnisotropicDiffusionCommand Class

TADAnisotropicDiffusionCommand Members

Overload List

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Help Version 23.0.2024.3.3

Leadtools.ImageProcessing.Core Assembly

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