public int NumberOfPoints { get; }
@property (nonatomic, assign, readonly) NSUInteger numberOfPoints;
public int getNumberOfPoints();
public:
property int NumberOfPoints {
int get();
}
NumberOfPoints # get (CorrelationCommand)
Value that indicates the number of areas in the image actually found to be correlated to the correlation image. Its maximum value is the length of the Points array.
Run the CorrelationCommand on an image.
using Leadtools;
using Leadtools.Codecs;
using Leadtools.ImageProcessing.Core;
public void NumberOfPointsPropertyExample()
{
// 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);
MessageBox.Show("The number of points are:" + command.NumberOfPoints.ToString());
}
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 numberOfPointsPropertyExample() {
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"));
// Prepare 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);
assertTrue(new File(outputFilePath).exists());
System.out.println("File saved to: " + outputFilePath);
}
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