AntiAliasingCommand Constructor(int,int,AntiAliasingCommandType)

Summary

Initializes a new AntiAliasingCommand class object with explicit parameters.

Syntax

Objective-C

C++/CLI

Java

Python

public AntiAliasingCommand( 
   int threshold, 
   int dimension, 
   AntiAliasingCommandType filter 
)

- (instancetype)initWithThreshold:(NSInteger)threshold dimension:(NSUInteger)dimension filter:(LTAntiAliasingCommandType)filter NS_DESIGNATED_INITIALIZER;

public AntiAliasingCommand( 
   int threshold, 
   int dimension, 
   AntiAliasingCommandType filter 
);

public: 
AntiAliasingCommand(  
   int threshold, 
   int dimension, 
   AntiAliasingCommandType filter 
)

__init__(self,threshold,dimension,filter) # Overloaded constructor

Parameters

threshold
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.

dimension
Value that indicates the size of the anti-aliasing mask. For example, a value of three indicates an anti-aliasing mask of 3 X 3. This parameter only accepts positive values.

filter
Flag that indicates the type of anti-aliasing filter to use.

Example

Run the AntiAliasingCommand on an image and does anti-aliasing on it.

Java

using Leadtools; 
using Leadtools.Codecs; 
using Leadtools.ImageProcessing.Effects; 
 
 
public void AntiAliasingConstructorExample() 
{ 
   // Load an image 
   RasterCodecs codecs = new RasterCodecs(); 
   codecs.ThrowExceptionsOnInvalidImages = true; 
 
   RasterImage image = codecs.Load(Path.Combine(LEAD_VARS.ImagesDir, "Jagged.jpg")); 
 
   // Prepare the command 
   int threshold = 25; 
   int dimension = 7; 
   AntiAliasingCommand command = new AntiAliasingCommand(threshold, dimension, 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 antiAliasingConstructorExample() { 
 
    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 
    int threshold = 25; 
    int dimension = 7; 
    AntiAliasingCommand command = new AntiAliasingCommand(threshold, dimension, 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

Overload List

Download our FREE evaluation

Help Version 23.0.2024.3.3

Leadtools.ImageProcessing.Effects Assembly

Introduction

Getting Started

Namespaces

Leadtools.ImageProcessing.Effects Namespace

Assemblies