public EdgeDetectStatisticalCommand(
int dimension,
int threshold,
RasterColor edgeColor,
RasterColor backGroundColor
)
- (instancetype)initWithDimension:(NSUInteger)dimension threshold:(NSInteger)threshold edgeColor:(LTRasterColor*)edgeColor backgroundColor:(LTRasterColor *)backgroundColor NS_DESIGNATED_INITIALIZER;
public EdgeDetectStatisticalCommand(
int dimension,
int threshold,
RasterColor edgeColor,
RasterColor backGroundColor
);
public:
EdgeDetectStatisticalCommand(
int dimension,
int threshold,
RasterColor edgeColor,
RasterColor backGroundColor
)
__init__(self,dimension,threshold,edgeColor,backGroundColor) # Overloaded constructor
dimension
Dimensions of the neighborhood used to detect edges (Dimension x Dimension), in pixels. This parameter only accepts positive values.
threshold
Threshold value used to determine which pixels are edge pixels. If the difference determined by the edge detector algorithm for a pixel is greater than this value, the pixel is an edge pixel. This parameter only accepts positive values.
edgeColor
Edge color.
backGroundColor
Non edge color.
Run the EdgeDetectStatisticalCommand on an image.
using Leadtools;
using Leadtools.Codecs;
using Leadtools.ImageProcessing.Effects;
public void EdgeDetectStatisticalConstructorExample()
{
// 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
EdgeDetectStatisticalCommand command = new EdgeDetectStatisticalCommand(5, 100, new RasterColor(255, 255, 255), new RasterColor(0, 0, 0));
// Apply an edge detector statistical command.
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.assertTrue;
import leadtools.*;
import leadtools.codecs.*;
import leadtools.imageprocessing.effects.EdgeDetectStatisticalCommand;
public void edgeDetectStatisticalConstructorExample() {
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, "NaturalFruits.jpg"));
// Prepare the command
EdgeDetectStatisticalCommand command = new EdgeDetectStatisticalCommand(5, 100, new RasterColor(255, 255, 255),
new RasterColor(0, 0, 0));
// Apply an edge detector statistical command.
int change = command.run(image);
assertTrue(change != RasterImageChangedFlags.NONE);
codecs.save(image, combine(LEAD_VARS_IMAGES_DIR, "naturalFruitsConstructorResult.jpg"), RasterImageFormat.JPEG,
24);
System.out.println(
"Command run, image saved to " + combine(LEAD_VARS_IMAGES_DIR, "naturalFruitsConstructorResult.jpg"));
}
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