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Threshold Property

Summary
Gets or sets the threshold value that indicates which pixels to smooth.
Syntax
C#
Objective-C
C++/CLI
Java
Python
public int Threshold { get; set; } 
@property (nonatomic, assign) NSInteger threshold; 
public int getThreshold(); 
public void setThreshold( 
   int intValue 
); 
public: 
property int Threshold { 
   int get(); 
   void set (    int ); 
} 
Threshold # get and set (AntiAliasingCommand) 

Property Value

Threshold value that indicates which pixels to smooth. The application of the anti-aliasing filter on the image associates a value with each pixel. Only pixels with values above this threshold are smoothed. This parameter only accepts positive values.

Example
C#
Java
using Leadtools; 
using Leadtools.Codecs; 
using Leadtools.ImageProcessing.Effects; 
 
 
public void AntiAliasingCommandExample() 
{ 
   // Load an image 
   RasterCodecs codecs = new RasterCodecs(); 
   codecs.ThrowExceptionsOnInvalidImages = true; 
 
   RasterImage image = codecs.Load(Path.Combine(LEAD_VARS.ImagesDir, "Jagged.jpg")); 
 
   // Prepare the command 
   AntiAliasingCommand command = new AntiAliasingCommand(); 
   //do the anti-aliasing on the image. 
   command.Threshold = 25; 
   command.Dimension = 7; 
   command.Filter = AntiAliasingCommandType.Type1; 
   command.Run(image); 
   codecs.Save(image, Path.Combine(LEAD_VARS.ImagesDir, "Result.jpg"), RasterImageFormat.Jpeg, 24); 
 
} 
 
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.*; 
import leadtools.codecs.*; 
import leadtools.imageprocessing.effects.*; 
 
 
public void antiAliasingCommandExample() { 
    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, "image1.jpg")); 
 
    // Prepare the command 
    AntiAliasingCommand command = new AntiAliasingCommand(); 
 
    // do the anti-aliasing on the image. 
    command.setThreshold(25); 
    command.setDimension(7); 
    command.setFilter(AntiAliasingCommandType.TYPE1); 
    int change = command.run(image); 
    assertTrue(change != RasterImageChangedFlags.NONE); 
 
    String outputFileName = combine(LEAD_VARS_IMAGES_DIR, "Result.jpg"); 
    codecs.save(image, outputFileName, RasterImageFormat.JPEG, 24); 
 
    System.out.println("Command run and image saved to " + outputFileName); 
} 
Requirements

Target Platforms

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

Leadtools.ImageProcessing.Effects Assembly
Products | Support | Contact Us | Intellectual Property Notices
© 1991-2023 LEAD Technologies, Inc. All Rights Reserved.