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MultiscaleEnhancementCommand Class

Summary
Enhances an image's contrast, edges, and density range for use in Computed Radiography (CR), in a way that all relevant image features are rendered with an appropriate level of visibility. This command is available in the Medical toolkits.
Syntax
C#
Objective-C
C++/CLI
Java
Python
public class MultiscaleEnhancementCommand : RasterCommand 
@interface LTMultiscaleEnhancementCommand : LTRasterCommand 
public class MultiscaleEnhancementCommand 
    extends RasterCommand 
public ref class MultiscaleEnhancementCommand : public RasterCommand   
class MultiscaleEnhancementCommand(RasterCommand): 
Remarks
  • The command wraps techniques of image enhancements, such as contrast enhancement, edge enhancement and latitude reduction, for Computed Radiography (CR).
  • In multi scale enhancement, the image is decomposed into components or levels. Those components or levels that contain details will be enhanced separately from other components or levels.
  • This will improve the visualization for the subtle image features without the risk of losing information of other features.
  • To find the number of levels in any image follow this equation:
  • MaximumLevels = ceil( log( max(pimage->Width, pimage->Height)) / log(2));
  • The command will consider values larger than 10000 for contrast as 10000. If the user used a contrast of 0, then image contrast will not be improved.
  • Best results are obtained if contrast is in the range of 15 percent ~ 30 percent. The larger the value the stronger the enhancement will be. Any stronger enhancement than 30 percent will reveal noise and no new enhancement will be noticed.
  • The user can further enhance the image with:
  • The edge levels, edge coefficient, latitude levels and latitude coefficient values are available for advanced users. Using -1 would give the maximum enhancements.
  • This command supports 12 and 16-bit grayscale and 48 and 64-bit color images. Support for 12 and 16-bit grayscale and 48 and 64-bit color images is available only in the Document/Medical toolkits.
  • This command does not support 32-bit grayscale images.

For more information, refer to Changing Brightness and Contrast.

Multiscale Enhancement Function - Before

Multiscale Enhancement Function - Before

Multiscale Enhancement Function - After

Multiscale Enhancement Function - After

View additional platform support for this Multiscale Enhancement function.

Example

Run the MultiscaleEnhancementCommand on an image.

C#
Java
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); 
} 
Requirements

Target Platforms

See Also

Reference

MultiscaleEnhancementCommand Members

Leadtools.ImageProcessing.Core Namespace

Changing Brightness and Contrast

Leadtools.ImageProcessing.Color.ChangeContrastCommand

Leadtools.ImageProcessing.Color.ChangeIntensityCommand

Leadtools.ImageProcessing.Color.GammaCorrectCommand

Leadtools.ImageProcessing.Color.StretchIntensityCommand

Leadtools.ImageProcessing.Color.RemapIntensityCommand

Leadtools.ImageProcessing.Color.InvertCommand

Leadtools.ImageProcessing.Color.ChangeHueCommand

Leadtools.ImageProcessing.Color.ChangeSaturationCommand

Leadtools.ImageProcessing.Color.HistogramEqualizeCommand

Leadtools.ImageProcessing.FillCommand

Leadtools.ImageProcessing.Color.HistogramCommand

WindowLevelCommand Class

Leadtools.ImageProcessing.Color.HistogramContrastCommand

Leadtools.ImageProcessing.Color.AddWeightedCommand

Leadtools.ImageProcessing.Color.MultiplyCommand

Leadtools.ImageProcessing.Color.SelectiveColorCommand

Leadtools.ImageProcessing.Color.ChangeHueSaturationIntensityCommand

Leadtools.ImageProcessing.Color.ColorReplaceCommand

Leadtools.ImageProcessing.Color.ColorThresholdCommand

Leadtools.ImageProcessing.Effects.DirectionEdgeStatisticalCommand

FourierTransformDisplayCommand Class

FrequencyFilterCommand Class

FastFourierTransformCommand Class

Leadtools.ImageProcessing.Color.MathematicalFunctionCommand

SubtractBackgroundCommand Class

Leadtools.ImageProcessing.Effects.UserFilterCommand

Leadtools.ImageProcessing.Color.AdaptiveContrastCommand

Leadtools.ImageProcessing.Color.ApplyMathematicalLogicCommand

Leadtools.ImageProcessing.Color.ColorIntensityBalanceCommand

ColorizeGrayCommand Class

Leadtools.ImageProcessing.Color.ContrastBrightnessIntensityCommand

DigitalSubtractCommand Class

Leadtools.ImageProcessing.Color.DynamicBinaryCommand

Leadtools.ImageProcessing.Effects.EdgeDetectEffectCommand

Leadtools.ImageProcessing.SpecialEffects.FunctionalLightCommand

SelectDataCommand Class

ShiftDataCommand Class

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Leadtools.ImageProcessing.Core Assembly

Products | Support | Contact Us | Intellectual Property Notices
© 1991-2023 LEAD Technologies, Inc. All Rights Reserved.