MinimumInput Property

Summary

Gets or sets a value that specifies the image's shadows to be mapped.

Syntax

Objective-C

C++/CLI

Java

Python

public int MinimumInput { get; set; }

@property (nonatomic, assign) NSInteger minimumInput;

public int getMinimumInput(); 
public void setMinimumInput( 
   int intValue 
);

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

MinimumInput # get and set (ColorLevelCommandData)

Property Value

Value that specifies the image's shadows to be mapped. Valid values range from 0 to 255 for 8-bit, 0 to 4095 for 12-bit and 0 to 65535 for 16-bit images. Any value greater than or equal to this will be considered a shadow and will be remapped to the value in MinimumOutput.

Example

Java

using Leadtools; 
using Leadtools.Codecs; 
using Leadtools.ImageProcessing.Color; 
 
 
public void ColorLevelCommandExample() 
{ 
   // Load an image 
   RasterCodecs codecs = new RasterCodecs(); 
   codecs.ThrowExceptionsOnInvalidImages = true; 
 
   RasterImage image = codecs.Load(Path.Combine(LEAD_VARS.ImagesDir, "IMAGE1.CMP")); 
 
   // Prepare the command 
   ColorLevelCommandData blue = new ColorLevelCommandData(0, 255, 255, 0, 100); 
   ColorLevelCommandData master = new ColorLevelCommandData(20, 200, 0, 255, 100); 
   ColorLevelCommandData red = new ColorLevelCommandData(0, 255, 0, 255, 100); 
   ColorLevelCommandData green = new ColorLevelCommandData(0, 255, 0, 255, 100); 
 
   // Level the Blue and Master channels 
   ColorLevelCommand command = new ColorLevelCommand(); 
   command.Blue = blue; 
   command.Red = red; 
   command.Green = green; 
   command.Master = master; 
   command.Flags = ColorLevelCommandFlags.Blue | ColorLevelCommandFlags.Master; 
   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.assertTrue; 
 
import leadtools.*; 
import leadtools.codecs.*; 
import leadtools.imageprocessing.color.*; 
 
 
public void colorLevelCommandExample() { 
 
    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, "IMAGE1.CMP")); 
 
    // Prepare the command 
    ColorLevelCommandData blue = new ColorLevelCommandData(0, 255, 255, 0, 100); 
    ColorLevelCommandData master = new ColorLevelCommandData(20, 200, 0, 255, 100); 
    ColorLevelCommandData red = new ColorLevelCommandData(0, 255, 0, 255, 100); 
    ColorLevelCommandData green = new ColorLevelCommandData(0, 255, 0, 255, 100); 
 
    // Level the Blue and Master channels 
    ColorLevelCommand command = new ColorLevelCommand(); 
    command.setBlue(blue); 
    command.setRed(red); 
    command.setGreen(green); 
    command.setMaster(master); 
    command.setFlags(ColorLevelCommandFlags.BLUE.getValue() | ColorLevelCommandFlags.MASTER.getValue()); 
    command.run(image); 
 
    String outputFilePath = combine(LEAD_VARS_IMAGES_DIR, "Result.jpg"); 
    codecs.save(image, outputFilePath, RasterImageFormat.JPEG, 24); 
 
    System.out.println("Command run and image saved to " + outputFilePath); 
    assertTrue(new File(outputFilePath).exists()); 
}

Requirements

Target Platforms

Reference

ColorLevelCommandData Class

ColorLevelCommandData 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