public int Factor { get; set; }
@property (nonatomic, assign) NSUInteger factor;
public int getFactor();
public void setFactor(
int intValue
);
Factor # get and set (AutoBinarizeCommand)
Value that indicates the threshold factor.
using Leadtools;
using Leadtools.Codecs;
using Leadtools.ImageProcessing.Core;
public void AutoBinarizeCommandExample()
{
// Load an image
RasterCodecs codecs = new RasterCodecs();
codecs.ThrowExceptionsOnInvalidImages = true;
RasterImage image = codecs.Load(Path.Combine(LEAD_VARS.ImagesDir, "noisy_barcode.jpg"));
AutoBinarizeCommand command = new AutoBinarizeCommand();
command.Flags = AutoBinarizeCommandFlags.UsePercentileThreshold | AutoBinarizeCommandFlags.DontUsePreProcessing;
command.Factor = 2000; // use 20% threshold
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 autoBinarizeCommandExample() {
// Load an image
final String LEAD_VARS_IMAGES_DIR = "c:\\LEADTOOLS23\\Resources\\Images";
String outputFileName = combine(LEAD_VARS_IMAGES_DIR, "Result.mrc");
RasterCodecs codecs = new RasterCodecs();
codecs.setThrowExceptionsOnInvalidImages(true);
RasterImage image = codecs.load(combine(LEAD_VARS_IMAGES_DIR, "Sample.mrc"));
AutoBinarizeCommand command = new AutoBinarizeCommand();
command.run(image);
codecs.save(image, outputFileName, RasterImageFormat.MRC, 0);
image.dispose();
codecs.dispose();
assertTrue(new File(outputFileName).exists());
System.out.printf("File successfully saved to %s%n", outputFileName);
}
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