public MultiscaleEnhancementCommand(
int contrast,
int edgeLevels,
int edgeCoefficient,
int latitudeLevels,
int latitudeCoefficient,
MultiscaleEnhancementCommandType type,
MultiscaleEnhancementCommandFlags flags
)
- (instancetype)initWithContrast:(NSUInteger)contrast edgeLevels:(NSUInteger)edgeLevels edgeCoefficient:(NSUInteger)edgeCoefficient latitudeLevels:(NSUInteger)latitudeLevels latitudeCoefficient:(NSUInteger)latitudeCoefficient type:(LTMultiscaleEnhancementCommandType)type flags:(LTMultiscaleEnhancementCommandFlags)flags NS_DESIGNATED_INITIALIZER;
public MultiscaleEnhancementCommand(
int contrast,
int edgeLevels,
int edgeCoefficient,
int latitudeLevels,
int latitudeCoefficient,
MultiscaleEnhancementCommandType type,
int flags
)
public:
MultiscaleEnhancementCommand(
int contrast,
int edgeLevels,
int edgeCoefficient,
int latitudeLevels,
int latitudeCoefficient,
MultiscaleEnhancementCommandType type,
MultiscaleEnhancementCommandFlags flags
)
__init__(self,contrast,edgeLevels,edgeCoefficient,latitudeLevels,latitudeCoefficient,type,flags) # Overloaded constructor
contrast
Fraction of contrast enhancement applied to the image. Valid values range from 0 - 10000, which are interpreted as 0 percent - 100 percent. This value is internally divided by 10000. Greater values will produce stronger contrast.
edgeLevels
The number of levels that will be used for edge enhancement. Valid values are from 1 to the maximum number of levels of the image. -1 will use the default number of levels (which is 3). This option will take effect only if MultiscaleEnhancementCommandFlags.EdgeEnhancement is set in the flags parameter. Passing zero will return an error code.
edgeCoefficient
The edge enhancement coefficient. This value will be internally divided by 100. Pass -1 to use the default values (which is 170 interpreted as 1.7). This option will be used only if EdgeEnhancment is set in the flags parameter. Any value (>= 0) is valid. A value of 100 will be interpreted as 1.0 and will keep the image's edges un-enhanced. Larger values will produce more visible edges. Smaller values will produce less visible edges. Practically, the enhancement levels out at 200000 (interpreted as 2000.0) - values bigger than that will not enhance the image's edges any more.
latitudeLevels
The number of levels that will be used for Latitude reduction. Valid values are from 1 to maximum number of levels of the image. You can also pass -1 to use the default level value (which is 5). This option will be used only if the MultiscaleEnhancementCommandFlags.LatitudeReduction is set in Flags. Passing zero will return an error code.
latitudeCoefficient
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 parameter. 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.
type
Value that indicates the type of filter used.
flags
Flag that determines the command behavior.
Run the MultiscaleEnhancementCommand on an image.
using Leadtools;
using Leadtools.Codecs;
using Leadtools.ImageProcessing.Core;
public void MultiScaleEnhancementConstructorExample_S3()
{
// 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(2000, 4, -1, 0, 0, MultiscaleEnhancementCommandType.Gaussian, 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 multiScaleEnhancementConstructorExample_S3() {
final String LEAD_VARS_IMAGES_DIR = "C:\\LEADTOOLS23\\Resources\\Images";
RasterCodecs codecs = new RasterCodecs();
codecs.setThrowExceptionsOnInvalidImages(true);
// Load an image
RasterImage image = codecs.load(combine(LEAD_VARS_IMAGES_DIR, "Master.jpg"));
// Prepare the command
MultiscaleEnhancementCommand command = new MultiscaleEnhancementCommand(2000, 4, -1, 0, 0,
MultiscaleEnhancementCommandType.GAUSSIAN,
MultiscaleEnhancementCommandFlags.EDGE_ENHANCEMENT.getValue());
// Apply multiscale enhancement
command.run(image);
String destFileName = combine(LEAD_VARS_IMAGES_DIR, "Product.jpg");
codecs.save(image, destFileName, RasterImageFormat.BMP, 24);
assertTrue(new File(destFileName).exists());
System.out.printf("File saved successfully to %s%n", destFileName);
image.dispose();
codecs.dispose();
}
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