FourierTransformInformation Property

Summary

FourierTransformInformation structure. The Data property of the FourierTransformInformation object is a two-dimensional array that will hold the frequency components of the image.

Syntax

Objective-C

C++/CLI

Java

Python

public FourierTransformInformation FourierTransformInformation { get; set; }

@property (nonatomic, strong) LTFourierTransformInformation *fourierTransformInformation;

public FourierTransformInformation getFourierTransformInformation(); 
public void setFourierTransformInformation( 
   FourierTransformInformation fourierTransformInformation 
);

public: 
property FourierTransformInformation^ FourierTransformInformation { 
   FourierTransformInformation^ get(); 
   void set (    FourierTransformInformation^ ); 
}

FourierTransformInformation # get and set (FastFourierTransformCommand)

Property Value

FourierTransformInformation structure. The Data property of the FourierTransformInformation object is a two-dimensional array that will hold the frequency components of the image. Its size must be the same as the image. The command will fill the array elements using data from the Run method image when the FastFourierTransformCommandFlags.FastFourierTransform flag is set. The command will use the array values and reconstruct the Run method image when the FastFourierTransformCommandFlags.InverseFastFourierTransform flag is set.

Example

Java

using Leadtools; 
using Leadtools.ImageProcessing; 
using Leadtools.Codecs; 
using Leadtools.ImageProcessing.Core; 
 
public void FastFourierTransformConstructorExample() 
{ 
   // 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 
   // Resize the image to make sure the image's dimensions are power of two. 
   SizeCommand sizeCommand = new SizeCommand(256, 256, RasterSizeFlags.Bicubic); 
   sizeCommand.Run(image); 
 
   FourierTransformInformation ftArray = new FourierTransformInformation(image); 
   Complex[] data = ftArray.Data; 
   int width = ftArray.Width; 
   int height = ftArray.Height; 
 
   // Apply FFT. 
   FastFourierTransformCommand command = new FastFourierTransformCommand(); 
   command.FourierTransformInformation = ftArray; 
   command.Flags = FastFourierTransformCommandFlags.FastFourierTransform | FastFourierTransformCommandFlags.Gray; 
   command.Run(image); 
 
   LeadRect rcRect = new LeadRect(0, 0, image.Width / 2, image.Height / 2); 
   FrequencyFilterCommand freqCommand = new FrequencyFilterCommand(ftArray, rcRect, FrequencyFilterCommandFlags.InsideX | FrequencyFilterCommandFlags.OutsideY); 
 
   FastFourierTransformCommand invCommand = new FastFourierTransformCommand(ftArray, FastFourierTransformCommandFlags.InverseFastFourierTransform | FastFourierTransformCommandFlags.Gray | FastFourierTransformCommandFlags.Scale | 
         FastFourierTransformCommandFlags.Both); 
   invCommand.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.assertTrue; 
 
import leadtools.*; 
import leadtools.codecs.*; 
import leadtools.imageprocessing.*; 
import leadtools.imageprocessing.core.*; 
 
 
public void fastFourierTransformConstructorExample() { 
    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 
    // Resize the image to make sure the image's dimensions are power of two. 
    SizeCommand sizeCommand = new SizeCommand(256, 256, RasterSizeFlags.BICUBIC.getValue()); 
 
    sizeCommand.run(image); 
 
    FourierTransformInformation ftArray = new FourierTransformInformation(image); 
    // Apply FFT. 
    FastFourierTransformCommand command = new FastFourierTransformCommand(ftArray, 
            FastFourierTransformCommandFlags.FAST_FOURIER_TRANSFORM.getValue() 
                    | FastFourierTransformCommandFlags.GRAY.getValue()); 
    command.run(image); 
    FastFourierTransformCommand invCommand = new FastFourierTransformCommand(ftArray, 
            FastFourierTransformCommandFlags.INVERSE_FAST_FOURIER_TRANSFORM.getValue() 
                    | FastFourierTransformCommandFlags.GRAY.getValue() 
                    | FastFourierTransformCommandFlags.SCALE.getValue() 
                    | FastFourierTransformCommandFlags.BOTH.getValue()); 
    invCommand.run(image); 
 
    // Save the image 
    String outputFileName = combine(LEAD_VARS_IMAGES_DIR, "FourierTransform_result.jpg"); 
    codecs.save(image, outputFileName, RasterImageFormat.JPEG, 0); 
 
    System.out.println("Command run and image saved to " + outputFileName); 
    assertTrue(new File(outputFileName).exists()); 
}

Requirements

Target Platforms

Reference

FastFourierTransformCommand Class

FastFourierTransformCommand Members

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Help Version 23.0.2024.3.3

Leadtools.ImageProcessing.Core Assembly

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