Threshold Property

Summary

Gets or sets the threshold value that indicates which pixels to smooth.

Syntax

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

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

Reference

AntiAliasingCommand Class

AntiAliasingCommand Members

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Help Version 23.0.2024.3.3

Leadtools.ImageProcessing.Effects Assembly

Introduction

Getting Started

Namespaces

Leadtools.ImageProcessing.Effects Namespace

Assemblies