This function applies binary segmentation to a bitmap automatically. This class is available in the Document/Medical toolkits only.
public class AutoBinarizeCommand : Leadtools.Imageprocessing.Leadtools.ImageProcessing.RasterCommand, Leadtools.Imageprocessing.Leadtools.ImageProcessing.IRasterCommand
Public Class AutoBinarizeCommand
Inherits Leadtools.Imageprocessing.Leadtools.ImageProcessing.RasterCommand
Implements Leadtools.Imageprocessing.Leadtools.ImageProcessing.IRasterCommand
public sealed class AutoBinarizeCommand : Leadtools.Imageprocessing.Leadtools.ImageProcessing.IRasterCommand
@interface LTAutoBinarizeCommand : LTRasterCommand
public class AutoBinarizeCommand extends RasterCommand
function Leadtools.ImageProcessing.Core.AutoBinarizeCommand()
public ref class AutoBinarizeCommand : public Leadtools.Imageprocessing.Leadtools.ImageProcessing.RasterCommand, Leadtools.Imageprocessing.Leadtools.ImageProcessing.IRasterCommand
Options:
In Silverlight versions of LEADTOOLS, this image processing command will fail if the image data for the RasterImage object is stored internally using a Silverlight WriteableBitmap object. For more information, refer to Image Processing Command Limitations in Silverlight.
Runs the AutoBinarizeCommand on an image and converts it to a black and white image.
Imports Leadtools
Imports Leadtools.Codecs
Imports Leadtools.ImageProcessing.Core
Public Sub AutoBinarizeCommandExample()
' Load an image
Dim codecs As RasterCodecs = New RasterCodecs()
codecs.ThrowExceptionsOnInvalidImages = True
Dim image As RasterImage = codecs.Load(Path.Combine(LEAD_VARS.ImagesDir, "Sample.mrc"))
Dim command As AutoBinarizeCommand = New AutoBinarizeCommand()
command.Run(image)
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.Core;
public void AutoBinarizeCommandExample()
{
// Load an image
RasterCodecs codecs = new RasterCodecs();
codecs.ThrowExceptionsOnInvalidImages = true;
RasterImage image = codecs.Load(Path.Combine(LEAD_VARS.ImagesDir, "Sample.mrc"));
AutoBinarizeCommand command = new AutoBinarizeCommand();
command.Run(image);
}
static class LEAD_VARS
{
public const string ImagesDir = @"C:\Users\Public\Documents\LEADTOOLS Images";
}
using Leadtools;
using Leadtools.Codecs;
using Leadtools.ImageProcessing.Core;
public async Task AutoBinarizeCommandExample()
{
// Load an image
RasterCodecs codecs = new RasterCodecs();
codecs.ThrowExceptionsOnInvalidImages = true;
string srcFileName = @"Assets\IMAGE1.CMP";
StorageFile loadFile = await Tools.AppInstallFolder.GetFileAsync(srcFileName);
RasterImage image = await codecs.LoadAsync(LeadStreamFactory.Create(loadFile));
AutoBinarizeCommand command = new AutoBinarizeCommand();
command.Run(image);
}
using Leadtools;
using Leadtools.Examples;
using Leadtools.Codecs;
using Leadtools.ImageProcessing.Core;
public void AutoBinarizeCommandExample(RasterImage image, Stream outStream)
{
AutoBinarizeCommand command = new AutoBinarizeCommand();
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.Core
Public Sub AutoBinarizeCommandExample(ByVal image As RasterImage, ByVal outStream As Stream)
Dim command As AutoBinarizeCommand = New AutoBinarizeCommand()
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.Core Namespace
Introduction to Image Processing With LEADTOOLS
Leadtools.ImageProcessing.Color.AutoBinaryCommand
Leadtools.ImageProcessing.Color.DynamicBinaryCommand
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Feedback: AutoBinarizeCommand Class - Leadtools.ImageProcessing.Core |
Introduction |
Help Version 19.0.2017.3.21
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Raster .NET | C API | C++ Class Library | JavaScript HTML5
Document .NET | C API | C++ Class Library | JavaScript HTML5
Medical .NET | C API | C++ Class Library | JavaScript HTML5
Medical Web Viewer .NET
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