Dimension Property

Summary

This property is updated with the number of pixels on one side of the square (neighborhood) used for averaging.

Syntax

Objective-C

C++/CLI

Java

Python

public int Dimension { get; }

@property (nonatomic, assign, readonly) NSInteger dimension;

public int getDimension();

public: 
property int Dimension { 
   int get(); 
}

Dimension # get  (SpatialFilterCommand)

Property Value

Number of pixels on one side of the square (neighborhood) used for averaging. Usually an odd number such as 3 or 5 is used. If you specify an even number, the target pixel is the one northwest of the midpoint. This property only accepts positive values.

Example

Java

using Leadtools; 
using Leadtools.Codecs; 
using Leadtools.ImageProcessing.Effects; 
 
 
public void SpatialFilterConstructorExample_S1() 
{ 
   // 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 
   SpatialFilterCommand command1 = new SpatialFilterCommand(SpatialFilterCommandPredefined.EmbossSouth); 
   int[] data = command1.Matrix; 
   SpatialFilterCommand command = new SpatialFilterCommand(); 
   command.Divisor = command1.Divisor; 
   command.Bias = command1.Bias; 
   command.Matrix = data; 
   MessageBox.Show("Array Dimension is :" + command1.Dimension.ToString()); 
   //Apply the filter. 
   command.Run(image); 
 
} 
 
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.*; 
 
 
public void spatialFilterConstructorExample_S1() { 
   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 
   SpatialFilterCommand command = new SpatialFilterCommand(SpatialFilterCommandPredefined.PREWITT_HORIZONTAL); 
 
   // Apply a Prewitt edge detection filter. 
   int change = command.run(image); 
   assertTrue(change != RasterImageChangedFlags.NONE); 
 
   // Save the image 
   String outputFileName = combine(LEAD_VARS_IMAGES_DIR, "NaturalFruits.jpg"); 
   codecs.save(image, outputFileName, RasterImageFormat.JPEG, 0); 
   System.out.println("Command run, file saved to " + outputFileName); 
}