MultiscaleEnhancementCommand Constructor(int,MultiscaleEnhancementCommandType,MultiscaleEnhancementCommandFlags)

Summary

Initializes a new MultiscaleEnhancementCommand class object with explicit parameters.

Syntax

Objective-C

C++/CLI

Java

Python

public MultiscaleEnhancementCommand( 
   int contrast, 
   MultiscaleEnhancementCommandType type, 
   MultiscaleEnhancementCommandFlags flags 
)

- (instancetype)initWithContrast:(NSUInteger)contrast type:(LTMultiscaleEnhancementCommandType)type flags:(LTMultiscaleEnhancementCommandFlags)flags;

public MultiscaleEnhancementCommand( 
   int contrast, 
   MultiscaleEnhancementCommandType type,  
   int flags 
)

public: 
MultiscaleEnhancementCommand(  
   int contrast, 
   MultiscaleEnhancementCommandType type, 
   MultiscaleEnhancementCommandFlags flags 
)

__init__(self,contrast,type,flags) # Overloaded constructor

Parameters

contrast
Fraction of contrast enhancement applied to the image. Valid values range from 0 - 10000, which are interpreted as 0 percent - 100 percent. This value is internally divided by 10000. Greater values will produce stronger contrast.

type
Value that indicates the type of filter used.

flags
Flag that determines command behavior.

Example

Run the MultiscaleEnhancementCommand on an image.

Java

using Leadtools; 
using Leadtools.Codecs; 
using Leadtools.ImageProcessing.Core; 
 
 
public void MultiScaleEnhancementConstructorExample_S2() 
{ 
   // Load an image 
   RasterCodecs codecs = new RasterCodecs(); 
   codecs.ThrowExceptionsOnInvalidImages = true; 
 
   RasterImage image = codecs.Load(Path.Combine(LEAD_VARS.ImagesDir, "Master.jpg")); 
 
   // Prepare the command 
   MultiscaleEnhancementCommand command = new MultiscaleEnhancementCommand(2000, MultiscaleEnhancementCommandType.Gaussian, MultiscaleEnhancementCommandFlags.EdgeEnhancement); 
   // Apply multiscale enhancement 
   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.RasterImage; 
import leadtools.RasterImageFormat; 
import leadtools.codecs.*; 
import leadtools.imageprocessing.core.MultiscaleEnhancementCommand; 
import leadtools.imageprocessing.core.MultiscaleEnhancementCommandFlags; 
import leadtools.imageprocessing.core.MultiscaleEnhancementCommandType; 
 
 
public void multiScaleEnhancementConstructorExample_S2() { 
   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, "Master.jpg")); 
 
   // Prepare the command 
   MultiscaleEnhancementCommand command = new MultiscaleEnhancementCommand(200, 
         MultiscaleEnhancementCommandType.NORMAL, MultiscaleEnhancementCommandFlags.DONT_USE_THREADING.getValue()); 
 
   // Apply multiscale enhancement 
   command.run(image); 
 
   String destFileName = combine(LEAD_VARS_IMAGES_DIR, "Product.jpg"); 
   codecs.save(image, destFileName, RasterImageFormat.BMP, 24); 
 
   assertTrue(new File(destFileName).exists()); 
   System.out.printf("File saved successfully to %s%n", destFileName); 
 
   image.dispose(); 
   codecs.dispose(); 
}

Requirements

Target Platforms

Reference

MultiscaleEnhancementCommand Class

MultiscaleEnhancementCommand Members

Overload List

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Help Version 23.0.2024.3.3

Leadtools.ImageProcessing.Core Assembly

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Leadtools.ImageProcessing.Core Namespace

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