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EdgeCoefficient Property

Summary
Gets or sets the edge enhancement coefficient.
Syntax
C#
Objective-C
C++/CLI
Java
Python
public int EdgeCoefficient { get; set; } 
@property (nonatomic, assign) NSUInteger edgeCoefficient; 
public int getEdgeCoefficient(); 
public void setEdgeCoefficient( 
   int intValue 
); 
public: 
property int EdgeCoefficient { 
   int get(); 
   void set (    int ); 
} 
EdgeCoefficient # get and set (MultiscaleEnhancementCommand) 

Property Value

The edge enhancement coefficient. This value will be internally divided by 100. Pass -1 to use the default values (which is 170 interpreted as 1.7). This option will be used only if EdgeEnhancment is set in the Flags property. Any value (>= 0) is valid. A value of 100 will be interpreted as 1.0 and will keep the image's edges un-enhanced. Larger values will produce more visible edges. Smaller values will produce less visible edges. Practically, the enhancement levels out at 200000 (interpreted as 2000.0) - values bigger than that will not enhance the image's edges any more.

Example
C#
Java
using Leadtools; 
using Leadtools.Codecs; 
using Leadtools.ImageProcessing.Core; 
 
 
public void MultiScaleEnhancementCommandExample() 
{ 
   // 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(); 
   command.Contrast = 2000; 
   command.EdgeLevels = 4; 
   command.EdgeCoefficient = -1; 
   command.LatitudeLevels = 0; 
   command.LatitudeCoefficient = 0; 
   command.Type = MultiscaleEnhancementCommandType.Gaussian; 
   command.Flags = 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 multiScaleEnhancementCommandExample() { 
   // Load an image 
   final String LEAD_VARS_IMAGES_DIR = "C:\\LEADTOOLS23\\Resources\\Images"; 
   RasterCodecs codecs = new RasterCodecs(); 
   codecs.setThrowExceptionsOnInvalidImages(true); 
 
   RasterImage image = codecs.load(combine(LEAD_VARS_IMAGES_DIR, "Master.jpg")); 
 
   // Prepare the command 
   MultiscaleEnhancementCommand command = new MultiscaleEnhancementCommand(); 
 
   command.setContrast(2000); 
   command.setEdgeLevels(4); 
   command.setEdgeCoefficient(-1); 
   command.setLatitudeLevels(0); 
   command.setLatitudeCoefficient(0); 
   command.setType(MultiscaleEnhancementCommandType.GAUSSIAN); 
   command.setFlags(MultiscaleEnhancementCommandFlags.EDGE_ENHANCEMENT.getValue()); 
   assertTrue(command.getLatitudeLevels() == 0); 
 
   String destFileName = combine(LEAD_VARS_IMAGES_DIR, "Product.jpg"); 
   codecs.save(image, destFileName, RasterImageFormat.BMP, 24); 
 
   // Apply multiscale enhancement 
   command.run(image); 
 
   image.dispose(); 
   codecs.dispose(); 
 
   assertTrue(new File(destFileName).exists()); 
   System.out.printf("File saved successfully to %s%n", destFileName); 
} 
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.