public int LatitudeCoefficient { get; set; }
@property (nonatomic, assign) NSUInteger latitudeCoefficient;
public int getLatitudeCoefficient();
public void setLatitudeCoefficient(
int intValue
);
LatitudeCoefficient # get and set (MultiscaleEnhancementCommand)
The latitude reduction coefficient. This value will be internally divided by 100. Pass -1 to use the default values (which is 140 interpreted as 1.4). This option will be used only if MultiscaleEnhancementCommandFlags.LatitudeReduction is set in the Flags property. Any value (>= 0) is valid. A value of 100 will be interpreted as 1.0 and will keep the image's latitude un-enhanced. Decreasing latitude makes the image brighter, increasing latitude makes the image dimmer. Practically, the enhancement levels out at 200000 (interpreted as 2000,0) - values bigger than that will not decrease the image's latitude any more.
using Leadtools;
using Leadtools.Codecs;
using Leadtools.ImageProcessing.Core;
public void MultiScaleEnhancementCommandExample()
{
// Load an image
RasterCodecs codecs = new RasterCodecs();
codecs.ThrowExceptionsOnInvalidImages = true;
RasterImage image = codecs.Load(Path.Combine(LEAD_VARS.ImagesDir, "Master.jpg"));
// Prepare the command
MultiscaleEnhancementCommand command = new MultiscaleEnhancementCommand();
command.Contrast = 2000;
command.EdgeLevels = 4;
command.EdgeCoefficient = -1;
command.LatitudeLevels = 0;
command.LatitudeCoefficient = 0;
command.Type = MultiscaleEnhancementCommandType.Gaussian;
command.Flags = MultiscaleEnhancementCommandFlags.EdgeEnhancement;
// Apply multiscale enhancement
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.RasterImage;
import leadtools.RasterImageFormat;
import leadtools.codecs.*;
import leadtools.imageprocessing.core.MultiscaleEnhancementCommand;
import leadtools.imageprocessing.core.MultiscaleEnhancementCommandFlags;
import leadtools.imageprocessing.core.MultiscaleEnhancementCommandType;
public void multiScaleEnhancementCommandExample() {
// Load an image
final String LEAD_VARS_IMAGES_DIR = "C:\\LEADTOOLS23\\Resources\\Images";
RasterCodecs codecs = new RasterCodecs();
codecs.setThrowExceptionsOnInvalidImages(true);
RasterImage image = codecs.load(combine(LEAD_VARS_IMAGES_DIR, "Master.jpg"));
// Prepare the command
MultiscaleEnhancementCommand command = new MultiscaleEnhancementCommand();
command.setContrast(2000);
command.setEdgeLevels(4);
command.setEdgeCoefficient(-1);
command.setLatitudeLevels(0);
command.setLatitudeCoefficient(0);
command.setType(MultiscaleEnhancementCommandType.GAUSSIAN);
command.setFlags(MultiscaleEnhancementCommandFlags.EDGE_ENHANCEMENT.getValue());
assertTrue(command.getLatitudeLevels() == 0);
String destFileName = combine(LEAD_VARS_IMAGES_DIR, "Product.jpg");
codecs.save(image, destFileName, RasterImageFormat.BMP, 24);
// Apply multiscale enhancement
command.run(image);
image.dispose();
codecs.dispose();
assertTrue(new File(destFileName).exists());
System.out.printf("File saved successfully to %s%n", destFileName);
}
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