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MathematicalFunctionCommand Constructor(MathematicalFunctionCommandType,int)

Summary
Initializes a new MathematicalFunctionCommand class object with explicit parameters.
Syntax
C#
Objective-C
C++/CLI
Java
Python
- (instancetype)initWithType:(LTMathematicalFunctionCommandType)type factor:(NSUInteger)factor NS_DESIGNATED_INITIALIZER; 
public MathematicalFunctionCommand( 
   MathematicalFunctionCommandType type, 
   int factor 
); 
public: 
MathematicalFunctionCommand(  
   MathematicalFunctionCommandType type, 
   int factor 
) 
__init__(self,type,factor) # Overloaded constructor 

Parameters

type
Flag that indicates the function to be applied.

factor
Value that is used as an amplitude factor when squaring, taking the logarithm of or taking the square root of the color values and as a frequency factor when taking the sine or cosine of the color values. The factor value is divided internally by different amounts, according to the type of the function being used. These amounts are as follows:

if the type parameter is set to: then the factor parameter will be divided by:
Square 10000 internally
Logarithm 10 internally
Square Root 10 internally
Sine 100 internally
Cosine 100 internally

Only positive values are accepted.

Example

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

C#
Java
using Leadtools; 
using Leadtools.Codecs; 
using Leadtools.ImageProcessing.Color; 
 
 
public void MathematicalFunctionConstructorExample() 
{ 
   // 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(MathematicalFunctionCommandType.Square, 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 mathematicalFunctionConstructorExample() { 
 
    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(MathematicalFunctionCommandType.SQUARE, 
            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()); 
 
} 
Requirements

Target Platforms

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

Leadtools.ImageProcessing.Color Assembly

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