Performs Canny edge detection for the master channel of the image, or for one or more of the three channels (Red, Green, Blue) if the image is colored.
public class CannyEdgeDetectorCommand : RasterCommand
@interface LTCannyEdgeDetectorCommand : LTRasterCommand
public class CannyEdgeDetectorCommand
extends RasterCommand
public:
ref class CannyEdgeDetectorCommand : RasterCommand
class CannyEdgeDetectorCommand(RasterCommand):
This function supports 8-bit, 12-bit, and 16-bit grayscale images; as well as 24-bit, 32-bit, 48-bit, and 64-bit colored images. This function does not support 32-bit grayscale images. It returns the ERROR_GRAY32_UNSUPPORTED error code if a 32-bit grayscale image is passed to this function.
The CannyEdgeDetectorCommand function supports setting rectangular regions.
To update a status bar or detect a user interrupt during execution of this function, refer to Progress Event.
Runs the CannyEdgeDetectorCommand on an image.
using Leadtools;
using Leadtools.Codecs;
using Leadtools.ImageProcessing.Core;
public void CannyEdgeDetectorCommandExample()
{
RasterCodecs codecs = new RasterCodecs();
RasterImage image = codecs.Load(Path.Combine(LEAD_VARS.ImagesDir, "cannon.jpg"), 0, CodecsLoadByteOrder.Bgr, 1, 1);
CannyEdgeDetectorCommand Canny = new CannyEdgeDetectorCommand();
Canny.Radius = 1;
Canny.LowThreshold = 2;
Canny.HighThreshold = 5;
Canny.Channels = CannyEdgeDetectorCommandChannels.Master;
Canny.Run(image);
codecs.Save(image, Path.Combine(LEAD_VARS.ImagesDir, "cannon_Canny.bmp"), Leadtools.RasterImageFormat.Bmp, 24, 1, 1, 1, Leadtools.Codecs.CodecsSavePageMode.Overwrite);
image.Dispose();
codecs.Dispose();
}
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.Test;
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.core.CannyEdgeDetectorCommand;
public void cannyEdgeDetectorCommandExample() {
RasterCodecs codecs = new RasterCodecs();
final String LEAD_VARS_IMAGES_DIR = "C:\\LEADTOOLS23\\Resources\\Images";
RasterImage image = codecs.load(combine(LEAD_VARS_IMAGES_DIR, "cannon.jpg"), 0, CodecsLoadByteOrder.BGR, 1, 1);
CannyEdgeDetectorCommand canny = new CannyEdgeDetectorCommand();
canny.setRadius(1);
canny.setLowThreshold(2);
canny.setHighThreshold(5);
canny.run(image);
codecs.save(image, combine(LEAD_VARS_IMAGES_DIR, "cannon_Canny.bmp"), RasterImageFormat.BMP, 24, 1, 1, 1,
CodecsSavePageMode.OVERWRITE);
image.dispose();
codecs.dispose();
assertTrue(new File(combine(LEAD_VARS_IMAGES_DIR, "cannon_Canny.bmp")).exists());
System.out.println("Command run and file exported to: " + combine(LEAD_VARS_IMAGES_DIR, "cannon_Canny.bmp"));
}
CannyEdgeDetectorCommand Members
Leadtools.ImageProcessing.Core Namespace
Detecting and Enhancing Edges and Lines
Help Collections
Raster .NET | C API | C++ Class Library | HTML5 JavaScript
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Supported Platforms
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Imaging, Medical, and Document
C API/C++ Class Libraries
Imaging, Medical, and Document
HTML5 JavaScript Libraries
Imaging, Medical, and Document