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Divisor Property

Summary
Gets or sets a value used to divide the final result of the output.
Syntax
C#
Objective-C
C++/CLI
Java
Python
public int Divisor { get; set; } 
@property (nonatomic, assign) NSUInteger divisor; 
public int getDivisor(); 
public void setDivisor( 
   int intValue 
); 
public: 
property int Divisor { 
   int get(); 
   void set (    int ); 
} 
Divisor # get and set (UserFilterCommand) 

Property Value

Value used to divide the final result of the output. This must be a non-zero value. If you want to use floating point values for the matrix elements and the divisor, multiply the matrix elements and the divisor with the same value (for example, 10, 100, 1000). This property only accepts positive values.

Example
C#
Java
using Leadtools; 
using Leadtools.Codecs; 
using Leadtools.ImageProcessing.Effects; 
 
 
public void UserFilterCommandExample() 
{ 
   // Load an image 
   RasterCodecs codecs = new RasterCodecs(); 
   codecs.ThrowExceptionsOnInvalidImages = true; 
 
   RasterImage image = codecs.Load(Path.Combine(LEAD_VARS.ImagesDir, "IMAGE1.CMP")); 
 
   // Prepare the command 
   int i, j; 
   UserFilterCommand command = new UserFilterCommand(); 
   command.CenterPoint = new LeadPoint(1, 1); 
   command.Divisor = 1; 
   command.Offset = 0; 
   command.Type = UserFilterCommandType.Sum; 
   command.FilterHeight = 3; 
   command.FilterWidth = 3; 
   command.Matrix = new int[9]; 
 
   // Initialize the array with factor used to apply the high pass filter. 
   for (i = 0; i < 3; i++) 
   { 
      for (j = 0; j < 3; j++) 
      { 
         if (j == 1 || i == 1) 
         { 
            if (j == 1 && i == 1) 
               command.Matrix[i * 3 + j] = 5; 
            else 
               command.Matrix[i * 3 + j] = -1; 
         } 
         else 
            command.Matrix[i * 3 + j] = 0; 
      } 
   } 
 
   // Apply the high pass custom 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.*; 
 
import leadtools.*; 
import leadtools.codecs.*; 
import leadtools.imageprocessing.effects.UserFilterCommand; 
import leadtools.imageprocessing.effects.UserFilterCommandType; 
 
 
public void userFilterCommandExample() { 
   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, "IMAGE1.CMP")); 
 
   // Prepare the command 
   int i, j; 
   UserFilterCommand command = new UserFilterCommand(); 
   command.setCenterPoint(new LeadPoint(1, 1)); 
   command.setDivisor(1); 
   command.setOffset(0); 
   command.setType(UserFilterCommandType.SUM); 
   command.setFilterHeight(3); 
   command.setFilterWidth(3); 
   command.setMatrix(new int[9]); 
 
   // Initialize the array with factor used to apply the high pass filter. 
   for (i = 0; i < 3; i++) { 
      for (j = 0; j < 3; j++) { 
         if (j == 1 || i == 1) { 
            if (j == 1 && i == 1) 
               command.getMatrix()[i * 3 + j] = 5; 
            else 
               command.getMatrix()[i * 3 + j] = -1; 
         } else 
            command.getMatrix()[i * 3 + j] = 0; 
      } 
   } 
   // Apply the high pass custom filter. 
   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

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

Leadtools.ImageProcessing.Effects Assembly

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© 1991-2023 LEAD Technologies, Inc. All Rights Reserved.