AutoBinarizeCommand Constructor(int,AutoBinarizeCommandFlags)

Summary

Initializes a new AutoBinarizeCommand class object with explicit parameters.

Syntax

Objective-C

C++/CLI

Java

Python

public AutoBinarizeCommand( 
   int factor, 
   AutoBinarizeCommandFlags flags 
)

- (instancetype)initWithFactor:(NSUInteger)factor flags:(LTAutoBinarizeCommandFlags)flags NS_DESIGNATED_INITIALIZER;

public AutoBinarizeCommand( 
   int factor,  
   int flags 
)

public: 
AutoBinarizeCommand(  
   int factor, 
   AutoBinarizeCommandFlags flags 
)

__init__(self,factor,flags) # Overloaded constructor

Parameters

factor
The meaning of this factor depends on which threshold type flags are being used.

flags
Flags that determine the behavior of Auto Binarize process.

Example

Java

using Leadtools; 
using Leadtools.Codecs; 
using Leadtools.ImageProcessing.Core; 
 
public void AutoBinarizeCommandExample() 
{ 
   // Load an image 
   RasterCodecs codecs = new RasterCodecs(); 
   codecs.ThrowExceptionsOnInvalidImages = true; 
 
   RasterImage image = codecs.Load(Path.Combine(LEAD_VARS.ImagesDir, "noisy_barcode.jpg")); 
 
   AutoBinarizeCommand command = new AutoBinarizeCommand(); 
   command.Flags = AutoBinarizeCommandFlags.UsePercentileThreshold | AutoBinarizeCommandFlags.DontUsePreProcessing; 
   command.Factor = 2000; // use 20% threshold 
   command.Run(image); 
} 
 
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.core.*; 
 
 
public void autoBinarizeCommandExample() { 
 
   // Load an image 
   final String LEAD_VARS_IMAGES_DIR = "c:\\LEADTOOLS23\\Resources\\Images"; 
   String outputFileName = combine(LEAD_VARS_IMAGES_DIR, "Result.mrc"); 
   RasterCodecs codecs = new RasterCodecs(); 
   codecs.setThrowExceptionsOnInvalidImages(true); 
 
   RasterImage image = codecs.load(combine(LEAD_VARS_IMAGES_DIR, "Sample.mrc")); 
   AutoBinarizeCommand command = new AutoBinarizeCommand(); 
 
   command.run(image); 
 
   codecs.save(image, outputFileName, RasterImageFormat.MRC, 0); 
 
   image.dispose(); 
   codecs.dispose(); 
 
   assertTrue(new File(outputFileName).exists()); 
   System.out.printf("File successfully saved to %s%n", outputFileName); 
}

Requirements

Target Platforms

Reference

AutoBinarizeCommand Class

AutoBinarizeCommand Members

Overload List

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Help Version 23.0.2024.3.3

Leadtools.ImageProcessing.Core Assembly

Introduction

Getting Started

Namespaces

Leadtools.ImageProcessing.Core Namespace

Assemblies