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.
public class AutoBinaryCommand : RasterCommand
Public Class AutoBinaryCommand
Inherits RasterCommand
@interface LTAutoBinaryCommand : LTRasterCommand
public class AutoBinaryCommand extends RasterCommand
public ref class AutoBinaryCommand : public RasterCommand
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:
For more information, refer to Processing an Image. For more information, refer to Removing Noise.
Run the AutoBinaryCommand on an image and apply automatic binary segmentation on it.
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
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
c#[Silverlight C# Example]
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();
}
vb[Silverlight VB Example]
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
Leadtools.ImageProcessing.Color Namespace
Introduction to Image Processing With LEADTOOLS
Leadtools.ImageProcessing.Effects.SharpenCommand
Leadtools.ImageProcessing.Effects.MosaicCommand
Leadtools.ImageProcessing.Effects.EmbossCommand
Leadtools.ImageProcessing.Effects.AverageCommand
Leadtools.ImageProcessing.Core.MedianCommand
Leadtools.ImageProcessing.Effects.AddNoiseCommand
Leadtools.ImageProcessing.Effects.SpatialFilterCommand
Leadtools.ImageProcessing.Core.MaximumCommand
Leadtools.ImageProcessing.Core.MinimumCommand
Leadtools.ImageProcessing.Effects.OilifyCommand
Leadtools.ImageProcessing.Core.WindowLevelCommand
Leadtools.ImageProcessing.Effects.BinaryFilterCommand
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
Help Collections
Raster .NET | C API | C++ Class Library | HTML5 JavaScript
Document .NET | C API | C++ Class Library | HTML5 JavaScript
Medical .NET | C API | C++ Class Library | HTML5 JavaScript
Medical Web Viewer .NET
Multimedia
Direct Show .NET | C API | Filters
Media Foundation .NET | C API | Transforms
Supported Platforms
.NET, Java, Android, and iOS/macOS Assemblies
Imaging, Medical, and Document
C API/C++ Class Libraries
Imaging, Medical, and Document
HTML5 JavaScript Libraries
Imaging, Medical, and Document