EdgeDetectorCommand Class

Summary

Applies the specified edge filter to an image. This command is available in the Document/Medical Toolkits.

Syntax

Objective-C

C++/CLI

Java

Python

public class EdgeDetectorCommand : RasterCommand

@interface LTEdgeDetectorCommand : LTRasterCommand

public class EdgeDetectorCommand 
    extends RasterCommand

public ref class EdgeDetectorCommand : public RasterCommand

class EdgeDetectorCommand(RasterCommand):

Remarks

Filters such as Sobel filter, Prewitt filter, Laplacian filter, and Gradient filter are used to determine the pixels belonging to edges in the image.
The threshold range for the 16, 48, and 64-bit images is from 0 to 65535 and for 12-bit images from 0 to 4095. Otherwise, it is from 0 to 255. The threshold is applied on channels separately.
This command supports 12 and 16-bit grayscale and 48 and 64-bit color images. Support for 12 and 16-bit grayscale and 48 and 64-bit color images is available only in the Document/Medical toolkits.
This command does not support 32-bit grayscale images.
This command supports signed/unsigned data images.

For more information, refer to Detecting and Enhancing Edges and Lines.

Edge Detector Function - Before

Edge Detector Function - After

View additional platform support for this Edge Detector function.

Example

Run the EdgeDetectorCommand on an image.

Java

using Leadtools; 
using Leadtools.Codecs; 
using Leadtools.ImageProcessing.Effects; 
 
 
public void EdgeDetectorCommandExample() 
{ 
   // Load an image 
   RasterCodecs codecs = new RasterCodecs(); 
   codecs.ThrowExceptionsOnInvalidImages = true; 
 
   RasterImage image = codecs.Load(Path.Combine(LEAD_VARS.ImagesDir, "ImageProcessingDemo\\NaturalFruits.jpg")); 
 
   // Prepare the command 
   EdgeDetectorCommand command = new EdgeDetectorCommand(); 
   command.Threshold = 60; 
   command.Filter = EdgeDetectorCommandType.SobelBoth; 
   //find the edges of 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 edgeDetectorCommandExample() { 
   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, "NaturalFruits.jpg")); 
 
   // Prepare the command 
   EdgeDetectorCommand command = new EdgeDetectorCommand(); 
   command.setThreshold(60); 
   command.setFilter(EdgeDetectorCommandType.SOBEL_BOTH); 
   // find the edges of 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")); 
}