ColorIntensityBalanceCommand Constructor(ColorIntensityBalanceCommandData,ColorIntensityBalanceCommandData,ColorIntensityBalanceCommandData,bool)

Summary

Initializes a new ColorIntensityBalanceCommand class object with explicit parameters.

Syntax

Objective-C

C++/CLI

Java

Python

public ColorIntensityBalanceCommand( 
   ColorIntensityBalanceCommandData shadows, 
   ColorIntensityBalanceCommandData midTone, 
   ColorIntensityBalanceCommandData highLight, 
   bool luminance 
)

- (instancetype)initWithShadows:(LTColorIntensityBalanceCommandData *)shadows midTone:(LTColorIntensityBalanceCommandData *)midTone highLight:(LTColorIntensityBalanceCommandData *)highlight luminance:(BOOL)luminance NS_DESIGNATED_INITIALIZER;

public ColorIntensityBalanceCommand( 
   ColorIntensityBalanceCommandData shadows, 
   ColorIntensityBalanceCommandData midTone, 
   ColorIntensityBalanceCommandData highLight, 
   boolean luminance 
);

public: 
ColorIntensityBalanceCommand(  
   ColorIntensityBalanceCommandData^ shadows, 
   ColorIntensityBalanceCommandData^ midTone, 
   ColorIntensityBalanceCommandData^ highLight, 
   bool luminance 
)

__init__(self,shadows,midTone,highLight,luminance) # Overloaded constructor

Parameters

shadows
class used to adjust the dark tones.

midTone
class used to adjust the medium tones (midtones).

highLight
class used to adjust the bright tones (highlights).

luminance
Boolean flag that indicates whether to preserve luminance.

Value	Meaning
true	Preserve luminance.
false	Do not preserve luminance.

Example

Run the ColorIntensityBalanceCommand on an image, and balance the colors by increasing the red channel values.

Java

using Leadtools; 
using Leadtools.Codecs; 
using Leadtools.ImageProcessing.Color; 
 
 
public void ColorIntensityBalanceConstructorExample() 
{ 
   // Load an image 
   RasterCodecs codecs = new RasterCodecs(); 
   codecs.ThrowExceptionsOnInvalidImages = true; 
 
   RasterImage image = codecs.Load(Path.Combine(LEAD_VARS.ImagesDir, "sample5.cmp")); 
 
   // Prepare the command 
   ColorIntensityBalanceCommandData Shadows = new ColorIntensityBalanceCommandData(60, 0, 0); 
   ColorIntensityBalanceCommandData MidTone = new ColorIntensityBalanceCommandData(40, 0, 0); 
   ColorIntensityBalanceCommandData HighLight = new ColorIntensityBalanceCommandData(70, 0, 0); 
   ColorIntensityBalanceCommand command = new ColorIntensityBalanceCommand(Shadows, MidTone, HighLight, false); 
   // Balance the colors by increasing the red channel values. 
   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 colorIntensityBalanceConstructorExample() { 
 
    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, "sample5.cmp")); 
 
    // Prepare the command 
    ColorIntensityBalanceCommandData shadows = new ColorIntensityBalanceCommandData(60, 0, 0); 
    ColorIntensityBalanceCommandData midTone = new ColorIntensityBalanceCommandData(40, 0, 0); 
    ColorIntensityBalanceCommandData highLight = new ColorIntensityBalanceCommandData(70, 0, 0); 
    ColorIntensityBalanceCommand command = new ColorIntensityBalanceCommand(shadows, midTone, highLight, false); 
 
    // Balance the colors by increasing the red channel values 
    command.run(image); 
    codecs.save(image, combine(LEAD_VARS_IMAGES_DIR, "Result.jpg"), RasterImageFormat.JPEG, 24); 
 
    assertTrue(new File(combine(LEAD_VARS_IMAGES_DIR, "Result.jpg")).exists()); 
    System.out.println("Command run and image saved to " + combine(LEAD_VARS_IMAGES_DIR, "Result.jpg")); 
 
}

Requirements

Target Platforms

Reference

ColorIntensityBalanceCommand Class

ColorIntensityBalanceCommand Members

Overload List

Download our FREE evaluation

Help Version 23.0.2024.3.3

Leadtools.ImageProcessing.Color Assembly

Introduction

Getting Started

Namespaces

Leadtools.ImageProcessing.Color Namespace

Assemblies