public class MinimumCommand : RasterCommand
@interface LTMinimumCommand : LTRasterCommand
public class MinimumCommand
extends RasterCommand
public ref class MinimumCommand : public RasterCommand
class MinimumCommand(RasterCommand):
For more information, refer to Removing Noise.
Minimum Function - Before
Minimum Function - After
View additional platform support for this Minimum function.
Run the MinimumCommand on an image with a neighborhood Dimensions = 3x3 pixels.
using Leadtools;
using Leadtools.Codecs;
using Leadtools.ImageProcessing.Core;
public void MinimumCommandExample()
{
// Load an image
RasterCodecs codecs = new RasterCodecs();
codecs.ThrowExceptionsOnInvalidImages = true;
RasterImage image = codecs.Load(Path.Combine(LEAD_VARS.ImagesDir, @"ImageProcessingDemo\NaturalFruits.jpg"));
// Prepare the command
MinimumCommand command = new MinimumCommand();
//Apply the Minimum filter.
command.Dimension = 3;
command.Run(image);
}
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.assertTrue;
import leadtools.*;
import leadtools.codecs.*;
import leadtools.imageprocessing.core.MinimumCommand;
public void minimumCommandExample() {
final String LEAD_VARS_IMAGES_DIR = "C:\\LEADTOOLS23\\Resources\\Images";
final String outputFileName = combine(LEAD_VARS_IMAGES_DIR, "Result.jpg");
// Load an image
RasterCodecs codecs = new RasterCodecs();
codecs.setThrowExceptionsOnInvalidImages(true);
RasterImage image = codecs.load(combine(LEAD_VARS_IMAGES_DIR, "NaturalFruits.jpg"));
// Prepare the command
MinimumCommand command = new MinimumCommand();
// Apply the Minimum filter.
command.setDimension(3);
command.run(image);
codecs.save(image, outputFileName, RasterImageFormat.JPEG, 0);
assertTrue(new File(outputFileName).exists());
System.out.println("Command run and image saved to " + outputFileName);
}
Leadtools.ImageProcessing.Core Namespace
Leadtools.ImageProcessing.Effects.AddNoiseCommand
Leadtools.ImageProcessing.Effects.SharpenCommand
Leadtools.ImageProcessing.Color.PosterizeCommand
Leadtools.ImageProcessing.Effects.MosaicCommand
Leadtools.ImageProcessing.Effects.EmbossCommand
Leadtools.ImageProcessing.Effects.AverageCommand
Leadtools.ImageProcessing.Color.IntensityDetectCommand
Leadtools.ImageProcessing.Effects.SpatialFilterCommand
Leadtools.ImageProcessing.Effects.BinaryFilterCommand
Leadtools.ImageProcessing.Effects.OilifyCommand
Leadtools.ImageProcessing.Color.SolarizeCommand
Leadtools.ImageProcessing.Effects.RegionHolesRemovalCommand
Leadtools.ImageProcessing.SpecialEffects.FragmentCommand
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
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