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AutoBinaryCommand Class

Summary

Applies binary segmentation to the image using an automatically calculated threshold based on a two-peak method of statistical analysis of the histogram. This command is available in the Document/Medical Toolkits.

Syntax

Java

Objective-C

WinRT C#

C++

public class AutoBinaryCommand : Leadtools.Imageprocessing.Leadtools.ImageProcessing.RasterCommand, Leadtools.Imageprocessing.Leadtools.ImageProcessing.IRasterCommand

Public Class AutoBinaryCommand  
   Inherits Leadtools.Imageprocessing.Leadtools.ImageProcessing.RasterCommand 
   Implements Leadtools.Imageprocessing.Leadtools.ImageProcessing.IRasterCommand

public sealed class AutoBinaryCommand : Leadtools.Imageprocessing.Leadtools.ImageProcessing.IRasterCommand

@interface LTAutoBinaryCommand : LTRasterCommand

public class AutoBinaryCommand extends RasterCommand

function Leadtools.ImageProcessing.Color.AutoBinaryCommand()

public ref class AutoBinaryCommand : public Leadtools.Imageprocessing.Leadtools.ImageProcessing.RasterCommand, Leadtools.Imageprocessing.Leadtools.ImageProcessing.IRasterCommand

Remarks

The image is transformed into a binary image using a threshold calculated automatically based on statistical features of the image. Best results are obtained with grayscale images.
This command supports 12 and 16-bit grayscale and 48 and 64-bit color images. Support for 12 and 16-bit grayscale and 48 and 64-bit color images is available only in the Document/Medical toolkits.
If the image has a region, the effect will be applied on the region only.
This command does not support signed data images.
This command does not support 32-bit grayscale images.

Use the AutoBinaryCommand when you simply want to apply binary segmentation to the bitmap using an automatically calculated threshold based on a two-peak method of statistical analysis on its histogram. Use the DynamicBinaryCommand to convert an image into a black and white image without changing its bits per pixel. Use the AutoBinarizeCommand if you want:

Automatic pre-processing
Pre-processing to include background elimination
Pre-processing to include color leveling
To perform automatic, percentile or median thresholding
To manually specify a threshold value

For more information, refer to Processing an Image. For more information, refer to Removing Noise.

Example

Run the AutoBinaryCommand on an image and apply automatic binary segmentation on it.

WinRT C#

Silverlight C#

Silverlight VB

Imports Leadtools 
Imports Leadtools.Codecs 
Imports Leadtools.ImageProcessing.Color 
 
    
Public Sub AutoBinaryCommandExample() 
   Dim codecs As New RasterCodecs() 
   codecs.ThrowExceptionsOnInvalidImages = True 
   Dim leadImage As RasterImage = codecs.Load(Path.Combine(LEAD_VARS.ImagesDir, "ImageProcessingDemo\\Beauty16.jpg")) 
 
   ' Prepare the command 
   Dim command As AutoBinaryCommand = New AutoBinaryCommand 
   'Apply Auto Binary Segment. 
   command.Run(leadImage) 
   codecs.Save(leadImage, Path.Combine(LEAD_VARS.ImagesDir, "Result.jpg"), RasterImageFormat.Jpeg, 24) 
 
End Sub 
 
Public NotInheritable Class LEAD_VARS 
Public Const ImagesDir As String = "C:\Users\Public\Documents\LEADTOOLS Images" 
End Class

using Leadtools; 
using Leadtools.Codecs; 
using Leadtools.ImageProcessing.Color; 
 
       
public void AutoBinaryCommandExample() 
{ 
   // Load an image 
   RasterCodecs codecs = new RasterCodecs(); 
   codecs.ThrowExceptionsOnInvalidImages = true; 
   RasterImage image = codecs.Load(Path.Combine(LEAD_VARS.ImagesDir, @"ImageProcessingDemo\Beauty16.jpg")); 
 
   // Prepare the command 
   AutoBinaryCommand command = new AutoBinaryCommand(); 
   //Apply Auto Binary Segment. 
   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:\Users\Public\Documents\LEADTOOLS Images"; 
}

using Leadtools; 
using Leadtools.Codecs; 
using Leadtools.ImageProcessing.Color; 
 
       
public async Task AutoBinaryCommandExample() 
{ 
   // Load an image 
   RasterCodecs codecs = new RasterCodecs(); 
   codecs.ThrowExceptionsOnInvalidImages = true; 
   // Load the image 
   string srcFileName = @"Assets\Image1.cmp"; 
   StorageFile loadFile = await Tools.AppInstallFolder.GetFileAsync(srcFileName); 
   RasterImage image = await codecs.LoadAsync(LeadStreamFactory.Create(loadFile)); 
 
   // Prepare the command 
   AutoBinaryCommand command = new AutoBinaryCommand(); 
   //Apply Auto Binary Segment. 
 
   string destFileName = @"result.jpg"; 
   StorageFile saveFile = await Tools.AppLocalFolder.CreateFileAsync(destFileName); 
   await codecs.SaveAsync(image, LeadStreamFactory.Create(saveFile), RasterImageFormat.Jpeg, 0); 
}

using Leadtools; 
using Leadtools.Codecs; 
using Leadtools.ImageProcessing.Color; 
 
public void AutoBinaryCommandExample(RasterImage image, Stream outStream) 
{ 
   // Prepare the command 
   AutoBinaryCommand command = new AutoBinaryCommand(); 
   //Apply Auto Binary Segment. 
   command.Run(image); 
   // Save result image 
   RasterCodecs codecs = new RasterCodecs(); 
   codecs.Save(image, outStream, RasterImageFormat.Jpeg, 24); 
   image.Dispose(); 
}

Imports Leadtools 
Imports Leadtools.Codecs 
Imports Leadtools.ImageProcessing.Color 
 
Public Sub AutoBinaryCommandExample(ByVal image As RasterImage, ByVal outStream As Stream) 
   ' Prepare the command 
   Dim command As AutoBinaryCommand = New AutoBinaryCommand() 
   'Apply Auto Binary Segment. 
   command.Run(image) 
   ' Save result image 
   Dim codecs As RasterCodecs = New RasterCodecs() 
   codecs.Save(image, outStream, RasterImageFormat.Jpeg, 24) 
   image.Dispose() 
End Sub