MathematicalFunctionCommand Class

Summary

Re-maps the image colors according to a mathematical function such as: square, logarithm, square root, sine and cosine.

Syntax

Objective-C

C++/CLI

Java

Python

public class MathematicalFunctionCommand : RasterCommand

@interface LTMathematicalFunctionCommand : LTRasterCommand

public class MathematicalFunctionCommand 
    extends RasterCommand

public ref class MathematicalFunctionCommand : public RasterCommand

class MathematicalFunctionCommand(RasterCommand):

Remarks

This class uses the RGB color space.
This class makes it possible to apply one of five mathematical functions to an image's pixel values: square, square root, logarithm, sine and cosine.
Set the mathematical operation to be performed on each pixel's values in the Type property. The resulting values are multiplied by the Factor property value. The Factor property can be any value greater than 0. It is divided internally by different amounts, according to the type of the function being used.
If the image has a region, the effect will be applied on the region only.
This class 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 Changing Brightness and Contrast.

Mathematical Function - Before

Mathematical Function - After

View additional platform support for this Mathematical function.

Example

Run the MathematicalFunctionCommand on an image with square function selected and factor = 50.

Java

using Leadtools; 
using Leadtools.Codecs; 
using Leadtools.ImageProcessing.Color; 
 
 
public void MathematicalFunctionCommandExample() 
{ 
   // 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 
   MathematicalFunctionCommand command = new MathematicalFunctionCommand(); 
   command.Type = MathematicalFunctionCommandType.Square; 
   command.Factor = 50; 
   //Apply Square Function to this image. 
   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.*; 
 
import leadtools.*; 
import leadtools.codecs.*; 
import leadtools.imageprocessing.color.*; 
 
 
public void mathematicalFunctionCommandExample() { 
 
    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 
    MathematicalFunctionCommand command = new MathematicalFunctionCommand(); 
    command.setType(MathematicalFunctionCommandType.SQUARE); 
    command.setFactor(50); 
 
    // Apply square function to this image 
    command.run(image); 
    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")); 
    assertTrue(new File(combine(LEAD_VARS_IMAGES_DIR, "Result.jpg")).exists()); 
 
}