public DirectionEdgeStatisticalCommand(
int dimension,
int threshold,
int angle,
RasterColor edgeColor,
RasterColor backGroundColor
)
- (instancetype)initWithDimension:(NSUInteger)dimension threshold:(NSInteger)threshold angle:(NSInteger)angle edgeColor:(LTRasterColor *)edgeColor backgroundColor:(LTRasterColor *)backgroundColor NS_DESIGNATED_INITIALIZER;
public DirectionEdgeStatisticalCommand(
int dimension,
int threshold,
int angle,
RasterColor edgeColor,
RasterColor backGroundColor
);
public:
DirectionEdgeStatisticalCommand(
int dimension,
int threshold,
int angle,
RasterColor edgeColor,
RasterColor backGroundColor
)
__init__(self,dimension,threshold,angle,edgeColor,backGroundColor) # Overloaded constructor
dimension
The dimension or the number of pixels used to calculate the edge in the specified direction, This parameter only accepts positive values.
threshold
Threshold value used to determine which pixels are edge pixels. If the difference in the intensity value between the pixel being tested and the average intensity of the pixels in the area specified in the dimension parameter around it is greater than this value, the pixel is an edge pixel. The threshold range for the 16, 48, and 64-bit images is from 0 to 65535 and for 12-bit images from 0 to 4095. Otherwise, it is from 0 to 255. The threshold is applied on channels separately.
angle
Value that represents the edge detector direction, in hundredths of degrees. Valid values range from -18000 through 18000. Positive values are produced by counterclockwise rotation above the horizon and negative values are produced by clockwise rotation below the horizon. This value is divided internally by 100.
edgeColor
Edge color.
backGroundColor
Non edge color.
Run the DirectionEdgeStatisticalCommand on an image, to find it is edges.
using Leadtools;
using Leadtools.Codecs;
using Leadtools.ImageProcessing.Effects;
public void DirectionEdgeStatisticalConstructorExample()
{
// 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
DirectionEdgeStatisticalCommand command = new DirectionEdgeStatisticalCommand(20, 128, 3000, new RasterColor(255, 255, 255), new RasterColor(0, 0, 0));
// Find the edges in the image.
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.effects.DirectionEdgeStatisticalCommand;
public void directionEdgeStatisticalConstructorExample() {
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
DirectionEdgeStatisticalCommand command = new DirectionEdgeStatisticalCommand(20, 128, 3000,
new RasterColor(255, 255, 255), new RasterColor(0, 0, 0));
// Find the edges in the image
int change = command.run(image);
assertTrue(change != RasterImageChangedFlags.NONE);
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"));
}
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