Parameter used to determine the radius of the Gaussian filter used inside this function to smooth the image before the edges are extracted.
public int Radius {get; set;}
@property (nonatomic, assign) NSInteger radius;
public:
property Int32 Radius
{
Int32 get()
void set(Int32 value)
}
Radius # get and set (CannyEdgeDetectorCommand)
Parameter used to determine the radius of the Gaussian filter used inside this function.
The Gaussian filter is not applied if the Radius is zero. The Radius should be zero if the image is clean.
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"));
}
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