EdgeDetectEffectCommand Constructor(int,int,EdgeDetectEffectCommandType)

Summary

Initializes a new EdgeDetectEffectCommand class object with explicit parameters.

Syntax

Objective-C

C++/CLI

Java

Python

public EdgeDetectEffectCommand( 
   int level, 
   int threshold, 
   EdgeDetectEffectCommandType type 
)

- (instancetype)initWithLevel:(NSUInteger)level threshold:(NSInteger)threshold type:(LTEdgeDetectEffectCommandType)type NS_DESIGNATED_INITIALIZER;

public EdgeDetectEffectCommand( 
   int level, 
   int threshold, 
   EdgeDetectEffectCommandType type 
);

public: 
EdgeDetectEffectCommand(  
   int level, 
   int threshold, 
   EdgeDetectEffectCommandType type 
)

__init__(self,level,threshold,type) # Overloaded constructor

Parameters

level
Level value used to determine the brightness of the edges. Standard value is 50. Range between 1 and 100. Big values will produce bright edges.

threshold
Threshold value used to determine which pixels are going to be filtered. If the difference determined for a pixel is less than this value, the pixel is set to 0. If the difference is greater, the filter will be applied to the pixel. This parameter only accepts positive values.

type
Flag that indicates the type of edge to generate.

Example

Run the EdgeDetectEffectCommand on an image.

Java

using Leadtools; 
using Leadtools.Codecs; 
using Leadtools.ImageProcessing.Effects; 
 
 
public void EdgeDetectEffectConstructorExample() 
{ 
   // Load an image 
   RasterCodecs codecs = new RasterCodecs(); 
   codecs.ThrowExceptionsOnInvalidImages = true; 
 
   RasterImage image = codecs.Load(Path.Combine(LEAD_VARS.ImagesDir, "sample5.cmp")); 
 
   // Prepare the command 
   EdgeDetectEffectCommand command = new EdgeDetectEffectCommand(75, 0, EdgeDetectEffectCommandType.Smooth); 
   // Apply find edges effect on the image. 
   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 edgeDetectEffectConstructorExample() { 
    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, "sample5.cmp")); 
 
    // Prepare the command 
    EdgeDetectEffectCommand command = new EdgeDetectEffectCommand(75, 0, EdgeDetectEffectCommandType.SMOOTH); 
 
    // Apply find edges effect on the image. 
    int change = command.run(image); 
    assertTrue(change != RasterImageChangedFlags.NONE); 
 
    codecs.save(image, combine(LEAD_VARS_IMAGES_DIR, "Result.jpg"), RasterImageFormat.JPEG, 24); 
    System.out.println("Command run and image saved to " + combine(LEAD_VARS_IMAGES_DIR, "Result.jpg")); 
}

Requirements

Target Platforms

Reference

EdgeDetectEffectCommand Class

EdgeDetectEffectCommand Members

Overload List

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Help Version 23.0.2024.3.3

Leadtools.ImageProcessing.Effects Assembly

Introduction

Getting Started

Namespaces

Leadtools.ImageProcessing.Effects Namespace

Assemblies