public class AutoBinaryCommand : RasterCommand
@interface LTAutoBinaryCommand : LTRasterCommand
public class AutoBinaryCommand
extends RasterCommand
public ref class AutoBinaryCommand : public RasterCommand
class AutoBinaryCommand(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.
Auto Binary Segment Function - Before
Auto Binary Segment Function - After
View additional platform support for this Auto Binary Segment function.
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:\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.color.*;
public void autoBinaryCommandExample() {
final String LEAD_VARS_IMAGES_DIR = "C:\\LEADTOOLS23\\Resources\\Images";
// Load an image
RasterCodecs codecs = new RasterCodecs();
codecs.setThrowExceptionsOnInvalidImages(true);
RasterImage image = codecs.load(combine(LEAD_VARS_IMAGES_DIR, "Beauty16.jpg"));
// Prepare the command
AutoBinaryCommand command = new AutoBinaryCommand();
// Apply Auto Binary Segment
command.run(image);
codecs.save(image, combine(LEAD_VARS_IMAGES_DIR, "Result.jpg"), RasterImageFormat.JPEG, 24);
System.out.println("Command run and image saved to " + combine(LEAD_VARS_IMAGES_DIR, "Result.jpg"));
assertTrue(new File(combine(LEAD_VARS_IMAGES_DIR, "Result.jpg")).exists());
}
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
Your email has been sent to support! Someone should be in touch! If your matter is urgent please come back into chat.
Chat Hours:
Monday - Friday, 8:30am to 6pm ET
Thank you for your feedback!
Please fill out the form again to start a new chat.
All agents are currently offline.
Chat Hours:
Monday - Friday
8:30AM - 6PM EST
To contact us please fill out this form and we will contact you via email.