MaximumCommand Class

Summary

Erodes dark objects by the specified amount.

Syntax

Objective-C

C++/CLI

Java

Python

public class MaximumCommand : RasterCommand

@interface LTMaximumCommand : LTRasterCommand

public class MaximumCommand 
    extends RasterCommand

public ref class MaximumCommand : public RasterCommand

class MaximumCommand(RasterCommand):

Remarks

This command can process the whole image or a region of the image.
The effect can be controlled by specifying the size of the neighborhood that is used for calculating each pixel value. For example, for 8x8, set Dimension property (or the dimension parameter of the Constructor) to 8. Each pixel is replaced with the maximum value of its neighborhood.
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 Removing Noise.

Maximum Function - Before

Maximum Function - After

View additional platform support for this Maximum function.

Example

Run the MaximumCommand on an image with a neighborhood Dimensions = 3x3 pixels.

Java

using Leadtools; 
using Leadtools.Codecs; 
using Leadtools.ImageProcessing.Core; 
 
public void MaximumCommandExample() 
{ 
   // 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 
   MaximumCommand command = new MaximumCommand(); 
   //Apply Maximum filter. 
   command.Dimension = 3; 
   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.core.MaximumCommand; 
 
 
public void maximumCommandExample() { 
   final String LEAD_VARS_IMAGES_DIR = "C:\\LEADTOOLS23\\Resources\\Images"; 
   final String OUTPUT_FILE_NAME = combine(LEAD_VARS_IMAGES_DIR, "Result.jpg"); 
 
   // Load an image 
   RasterCodecs codecs = new RasterCodecs(); 
   codecs.setThrowExceptionsOnInvalidImages(true); 
 
   RasterImage image = codecs.load(combine(LEAD_VARS_IMAGES_DIR, "NaturalFruits.jpg")); 
 
   // Prepare the command 
   MaximumCommand command = new MaximumCommand(); 
 
   // Apply Maximum filter. 
   command.setDimension(3); 
   command.run(image); 
   codecs.save(image, OUTPUT_FILE_NAME, RasterImageFormat.JPEG, 0); 
 
   System.out.println("Command run and image saved to " + OUTPUT_FILE_NAME); 
   assertTrue(new File(OUTPUT_FILE_NAME).exists()); 
}