FourierTransformDisplayCommand Class

Summary

This command is used to display the results of a Fast Fourier Transform or a Discrete Fourier analysis as an image.

Syntax

Objective-C

C++/CLI

Java

Python

public class FourierTransformDisplayCommand : RasterCommand

@interface LTFourierTransformDisplayCommand : LTRasterCommand

public class FourierTransformDisplayCommand 
    extends RasterCommand

public ref class FourierTransformDisplayCommand : public RasterCommand

class FourierTransformDisplayCommand(RasterCommand):

Remarks

This command is available in the Imaging and above toolkits.

This command converts the Data property of the FourierTransformInformation object computed by FastFourierTransformCommand or DiscreteFourierTransformCommand commands into an image. The resulting image may be displayed such that it shows either the frequency harmonics amplitude data or phase data. The (0,0) frequency is located in the image center, positive X harmonics in the right half and positive Y harmonics located in the lower half of the image. Note: If a padding flag was used when creating the FourierTransformInformation instance and the image is not the same size as the frequency data after padding, the image will be re-created with the proper size.
This command does not work on regions. If the image has a region the command ignores it and processes the entire image.
The Run method image should be allocated prior to calling this command. The size of the image must be the same size as the image that was used to generate the information in the Data property of the FourierTransformInformation object.
This command does not support 12 and 16-bit grayscale and 48 and 64-bit color images. If the image is 12 and 16-bit grayscale and 48 and 64-bit color, the command will not threw an exception.
This command does not support signed data images.
This command does not support 32-bit grayscale images.

For more information, refer to Removing Noise.

Example

Runs the FourierTransformDisplayCommand on an image, applies the Discrete Fourier Transform command to it, and displays the data.

Java

using Leadtools; 
using Leadtools.Codecs; 
using Leadtools.ImageProcessing.Core; 
 
public void FourierTransformDisplayCommandExample() 
{ 
   // Load an image 
   RasterCodecs codecs = new RasterCodecs(); 
   codecs.ThrowExceptionsOnInvalidImages = true; 
 
   RasterImage image = codecs.Load(Path.Combine(LEAD_VARS.ImagesDir, @"ImageProcessingDemo\FourierTransform.jpg")); 
 
   // Prepare the command 
   FourierTransformInformation FTArray = new FourierTransformInformation(image); 
   LeadRect rcRange = new LeadRect(0, 0, image.Width - 1, image.Height - 1); 
   DiscreteFourierTransformCommand DFTcommand = new DiscreteFourierTransformCommand(); 
   FourierTransformDisplayCommand command = new FourierTransformDisplayCommand(); 
 
   DFTcommand.FourierTransformInformation = FTArray; 
   DFTcommand.Range = rcRange; 
   DFTcommand.Flags = DiscreteFourierTransformCommandFlags.DiscreteFourierTransform | 
      DiscreteFourierTransformCommandFlags.Gray | 
      DiscreteFourierTransformCommandFlags.Range | 
      DiscreteFourierTransformCommandFlags.InsideX | 
      DiscreteFourierTransformCommandFlags.InsideY; 
   // apply DFT 
   DFTcommand.Run(image); 
 
   command.Flags = FourierTransformDisplayCommandFlags.Log | FourierTransformDisplayCommandFlags.Magnitude; 
   command.FourierTransformInformation = FTArray; 
   //plot frequency magnitude. 
   command.Run(image); 
 
} 
 
static class LEAD_VARS 
{ 
   public const string ImagesDir = @"C:\LEADTOOLS23\Resources\Images"; 
}

 
import static org.junit.Assert.assertTrue; 
 
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 leadtools.*; 
import leadtools.codecs.*; 
import leadtools.imageprocessing.core.*; 
 
 
public void fourierTransformDisplayCommandExample() { 
   final String LEAD_VARS_IMAGES_DIR = "C:\\LEADTOOLS23\\Resources\\Images"; 
 
   // Load an image 
   RasterCodecs codecs = new RasterCodecs(); 
   codecs.setThrowExceptionsOnInvalidImages(true); 
 
   RasterImage image = codecs.load(combine(LEAD_VARS_IMAGES_DIR, "FourierTransform.jpg")); 
 
   // Prepare the command 
   FourierTransformInformation ftArray = new FourierTransformInformation(image); 
   FourierTransformDisplayCommand command = new FourierTransformDisplayCommand(); 
 
   command.setFlags(FourierTransformDisplayCommandFlags.LOG.getValue() 
         | FourierTransformDisplayCommandFlags.MAGNITUDE.getValue()); 
   command.setFourierTransformInformation(ftArray); 
 
   // Plot frequency magnitude. 
   command.run(image); 
   codecs.save(image, (combine(LEAD_VARS_IMAGES_DIR, "Result.jpg")), RasterImageFormat.JPEG, 0); 
 
   assertTrue(new File(combine(LEAD_VARS_IMAGES_DIR, "Result.jpg")).exists()); 
   System.out.println("Command run and image saved to " + combine(LEAD_VARS_IMAGES_DIR, "Result.jpg")); 
}