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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

C#
VB
Java
Objective-C
WinRT C#
C++
public class AutoBinaryCommand : RasterCommand 
@interface LTAutoBinaryCommand : LTRasterCommand 
public class AutoBinaryCommand extends RasterCommand 
function Leadtools.ImageProcessing.Color.AutoBinaryCommand() 

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.

C#
VB
Silverlight C#
Silverlight VB
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"; 
} 
Imports Leadtools 
Imports Leadtools.Codecs 
Imports Leadtools.ImageProcessing.Color 
      Leadtools.Examples.Support.SetLicense() 
 
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(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 

Requirements

Target Platforms

See Also

Reference

AutoBinaryCommand Members

Leadtools.ImageProcessing.Color Namespace

Introduction to Image Processing With LEADTOOLS

Removing Noise

Leadtools.ImageProcessing.Effects.SharpenCommand

PosterizeCommand Class

Leadtools.ImageProcessing.Effects.MosaicCommand

Leadtools.ImageProcessing.Effects.EmbossCommand

Leadtools.ImageProcessing.Effects.AverageCommand

Leadtools.ImageProcessing.Core.MedianCommand

Leadtools.ImageProcessing.Effects.AddNoiseCommand

IntensityDetectCommand Class

Leadtools.ImageProcessing.Effects.SpatialFilterCommand

Leadtools.ImageProcessing.Core.MaximumCommand

Leadtools.ImageProcessing.Core.MinimumCommand

Leadtools.ImageProcessing.Effects.OilifyCommand

SolarizeCommand Class

Leadtools.ImageProcessing.Core.WindowLevelCommand

Leadtools.ImageProcessing.Effects.BinaryFilterCommand

ColorLevelCommand Class

Leadtools.ImageProcessing.Effects.BinaryFilterCommand

Leadtools.ImageProcessing.SpecialEffects.BricksTextureCommand

Leadtools.ImageProcessing.Core.DeskewCommand

Leadtools.ImageProcessing.SpecialEffects.DiffuseGlowCommand

Leadtools.ImageProcessing.SpecialEffects.GlowCommand

Leadtools.ImageProcessing.Core.HalfTonePatternCommand

Leadtools.ImageProcessing.Effects.HighPassCommand

Leadtools.ImageProcessing.Effects.MaskConvolutionCommand

Leadtools.ImageProcessing.SpecialEffects.PerspectiveCommand

Leadtools.ImageProcessing.SpecialEffects.PlasmaCommand

Leadtools.ImageProcessing.SpecialEffects.PointillistCommand

Leadtools.ImageProcessing.SpecialEffects.FragmentCommand

Leadtools.ImageProcessing.Effects.UnsharpMaskCommand

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Leadtools.ImageProcessing.Color Assembly