EdgeDetectStatisticalCommand Class

Summary

Detects edges by examining the variation of colors in all directions using statistical indices.

Syntax

Objective-C

C++/CLI

Java

Python

public class EdgeDetectStatisticalCommand : RasterCommand

@interface LTEdgeDetectStatisticalCommand : LTRasterCommand

public class EdgeDetectStatisticalCommand 
    extends RasterCommand

public ref class EdgeDetectStatisticalCommand : public RasterCommand

class EdgeDetectStatisticalCommand(RasterCommand):

Remarks

The edges are detected by applying a statistical filter that analyzes the variations of colors in all directions around each pixel.
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.

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

Edge Detect Statistical Function - Before

Edge Detect Statistical Function - After

View additional platform support for this Edge Detect Statistical function.

Example

Run the EdgeDetectStatisticalCommand on an image.

Java

using Leadtools; 
using Leadtools.Codecs; 
using Leadtools.ImageProcessing.Effects; 
 
 
public void EdgeDetectStatisticalCommandExample() 
{ 
   // 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 
   EdgeDetectStatisticalCommand command = new EdgeDetectStatisticalCommand(); 
   command.Dimension = 15; 
   command.Threshold = 128; 
   command.EdgeColor = new RasterColor(255, 255, 255); 
   command.BackGroundColor = new RasterColor(0, 0, 0); 
   // Apply an edge detector statistical command. 
   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.assertTrue; 
 
import leadtools.*; 
import leadtools.codecs.*; 
import leadtools.imageprocessing.effects.EdgeDetectStatisticalCommand; 
 
 
public void edgeDetectStatisticalCommandExample() { 
   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 
   EdgeDetectStatisticalCommand command = new EdgeDetectStatisticalCommand(); 
   command.setDimension(15); 
   command.setThreshold(128); 
   command.setEdgeColor(new RasterColor(255, 255, 255)); 
   command.setBackGroundColor(new RasterColor(0, 0, 0)); 
 
   // Apply an edge detector statistical command. 
   int change = command.run(image); 
   assertTrue(change != RasterImageChangedFlags.NONE); 
 
   codecs.save(image, combine(LEAD_VARS_IMAGES_DIR, "naturalFruitsResult.jpg"), RasterImageFormat.JPEG, 24); 
   System.out.println("Command run, image saved to " + combine(LEAD_VARS_IMAGES_DIR, "naturalFruitsResult.jpg")); 
}