public int Threshold { get; set; }
@property (nonatomic, assign) NSUInteger threshold;
public int getThreshold();
public void setThreshold(
int intValue
);
Threshold # get and set (CorrelationCommand)
Value that indicates the correlation threshold, which is a measure of association required to consider two areas to be correlated. If the correlation value between the correlation image and an area in the image to be searched (the Run method image) is less than the correlation threshold they are uncorrelated. Valid values range from 0 (zero resemblance) to 100 (perfect resemblance).
using Leadtools;
using Leadtools.Codecs;
using Leadtools.ImageProcessing.Core;
public void CorrelationCommandExample()
{
// Load an image
RasterCodecs codecs = new RasterCodecs();
codecs.ThrowExceptionsOnInvalidImages = true;
RasterImage image = codecs.Load(Path.Combine(LEAD_VARS.ImagesDir, "clean.tif"));
// Prepare the command
RasterImage DstImage = image.Clone();
CorrelationCommand command = new CorrelationCommand();
command.CorrelationImage = DstImage;
command.Threshold = 70;
command.XStep = 1;
command.YStep = 1;
command.Points = new LeadPoint[90];
//Apply the correlation filter.
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.*;
import leadtools.*;
import leadtools.codecs.*;
import leadtools.imageprocessing.core.*;
public void correlationCommandExample() {
final String LEAD_VARS_IMAGES_DIR = "C:\\LEADTOOLS23\\Resources\\Images";
final String outputFilePath = 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, "clean.tif"));
// Prepeare the command
RasterImage dstImage = image.clone();
CorrelationCommand command = new CorrelationCommand();
command.setCorrelationImage(dstImage);
command.setThreshold(70);
command.setXStep(1);
command.setYStep(1);
command.setPoints(new LeadPoint[90]);
// Apply the correlation filter
command.run(image);
codecs.save(image, outputFilePath, RasterImageFormat.TIF, 0);
assertTrue(new File(outputFilePath).exists());
System.out.println("File saved to: " + outputFilePath);
}
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