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SpatialFilterCommand Constructor(int,int,int[])

Summary
Initializes a new SpatialFilterCommand class object with explicit parameters.
Syntax
C#
Objective-C
C++/CLI
Java
Python
public SpatialFilterCommand( 
   int divisor, 
   int bias, 
   int[] matrix 
) 
- (instancetype)initWithDivisor:(NSInteger)divisor bias:(NSInteger)bias matrix:(nullable NSArray<NSNumber *> *)matrix NS_DESIGNATED_INITIALIZER; 
public SpatialFilterCommand( 
   int divisor, 
   int bias, 
   int[] matrix 
); 
public: 
SpatialFilterCommand(  
   int divisor, 
   int bias, 
   array<int>^ matrix 
) 
__init__(self,divisor,bias,matrix) # Overloaded constructor 

Parameters

divisor
Number used to divide the sum of weighted values.

bias
Number added to the weighted average.

matrix
The array of weighting factors. The factors apply to pixels in the neighborhood read left to right and top to bottom, as shown below:

spaflt.jpg
Example

Run the SpatialFilterCommand on an image.

C#
Java
using Leadtools; 
using Leadtools.Codecs; 
using Leadtools.ImageProcessing.Effects; 
 
 
public void SpatialFilterConstructorExample_S2() 
{ 
   // 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(command1.Divisor, command1.Bias, data); 
   //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_S2() { 
   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 command1 = new SpatialFilterCommand(SpatialFilterCommandPredefined.EMBOSS_SOUTH); 
   int[] data = command1.getMatrix(); 
   SpatialFilterCommand command = new SpatialFilterCommand(command1.getDivisor(), command1.getBias(), data); 
 
   // Apply the filter. 
   int change = command.run(image); 
   assertTrue(change != RasterImageChangedFlags.NONE); 
 
   // Save the image 
   String outputFileName = combine(LEAD_VARS_IMAGES_DIR, "NaturalFruits2.jpg"); 
   codecs.save(image, outputFileName, RasterImageFormat.JPEG, 0); 
   System.out.println("Command run, file saved to " + outputFileName); 
} 
Requirements

Target Platforms

Help Version 23.0.2024.3.3
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© 1991-2024 LEAD Technologies, Inc. All Rights Reserved.

Leadtools.ImageProcessing.Effects Assembly
Products | Support | Contact Us | Intellectual Property Notices
© 1991-2023 LEAD Technologies, Inc. All Rights Reserved.