Red Property

Summary

Gets or sets a value to be used for adjusting or balancing the red channel.

Syntax

Objective-C

C++/CLI

Java

Python

public int Red { get; set; }

@property (nonatomic, assign) NSInteger red;

public int getRed(); 
public void setRed( 
   int intValue 
);

public: 
property int Red { 
   int get(); 
   void set (    int ); 
}

Red # get and set (ColorIntensityBalanceCommandData)

Property Value

Value to be used for adjusting or balancing the red channel. Valid values range from -100 to 100. Values greater than 0 increase the red component. Values less than 0 decrease the red component. Using 0 leaves the red component unchanged.

Example

Java

using Leadtools; 
using Leadtools.Codecs; 
using Leadtools.ImageProcessing.Color; 
 
 
public void ColorIntensityBalanceCommandExample() 
{ 
   // Load an image 
   RasterCodecs codecs = new RasterCodecs(); 
   codecs.ThrowExceptionsOnInvalidImages = true; 
 
   RasterImage image = codecs.Load(Path.Combine(LEAD_VARS.ImagesDir, "sample5.cmp")); 
 
   // Prepare the command 
   ColorIntensityBalanceCommand command = new ColorIntensityBalanceCommand(); 
   ColorIntensityBalanceCommandData Shadows = new ColorIntensityBalanceCommandData(); 
   ColorIntensityBalanceCommandData MidTone = new ColorIntensityBalanceCommandData(); 
   ColorIntensityBalanceCommandData HighLight = new ColorIntensityBalanceCommandData(); 
 
   Shadows.Red = 60; 
   Shadows.Blue = 0; 
   Shadows.Green = 0; 
 
   MidTone.Red = 40; 
   MidTone.Blue = 0; 
   MidTone.Green = 0; 
 
   HighLight.Red = 70; 
   HighLight.Blue = 0; 
   HighLight.Green = 0; 
 
   command.Shadows = Shadows; 
   command.MidTone = MidTone; 
   command.HighLight = HighLight; 
   command.Luminance = 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 colorIntensityBalanceCommandExample() { 
 
    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 
    ColorIntensityBalanceCommand command = new ColorIntensityBalanceCommand(); 
    ColorIntensityBalanceCommandData shadows = new ColorIntensityBalanceCommandData(); 
    ColorIntensityBalanceCommandData midTone = new ColorIntensityBalanceCommandData(); 
    ColorIntensityBalanceCommandData highLight = new ColorIntensityBalanceCommandData(); 
 
    shadows.setRed(60); 
    shadows.setBlue(0); 
    shadows.setGreen(0); 
 
    midTone.setRed(40); 
    midTone.setBlue(0); 
    midTone.setGreen(0); 
 
    highLight.setRed(70); 
    highLight.setBlue(0); 
    highLight.setGreen(0); 
 
    command.setShadows(shadows); 
    command.setMidTone(midTone); 
    command.setHighLight(highLight); 
    command.setLuminance(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

ColorIntensityBalanceCommandData Class

ColorIntensityBalanceCommandData Members

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Help Version 23.0.2024.3.3

Leadtools.ImageProcessing.Color Assembly

Introduction

Getting Started

Namespaces

Leadtools.ImageProcessing.Color Namespace

Assemblies