FastFourierTransformCommand Constructor(FourierTransformInformation,FastFourierTransformCommandFlags)

Summary

Initializes a new FastFourierTransformCommand class object with explicit parameters.

Syntax

Objective-C

C++/CLI

Java

Python

public FastFourierTransformCommand( 
   FourierTransformInformation fourierTransformInformation, 
   FastFourierTransformCommandFlags flags 
)

- (instancetype)initWithInformation:(LTFourierTransformInformation *)information flags:(LTFastFourierTransformCommandFlags)flags NS_DESIGNATED_INITIALIZER;

public FastFourierTransformCommand(FourierTransformInformation fourierTransformInformation, int flags)

public: 
FastFourierTransformCommand(  
   FourierTransformInformation^ fourierTransformInformation, 
   FastFourierTransformCommandFlags flags 
)

__init__(self,fourierTransformInformation,flags) # Overloaded constructor

Parameters

fourierTransformInformation
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.

flags
Flags that indicate the transformation type, operation channel, frequency data type used to reconstruct the image, and the clipping type. You can use a bit-wise OR ( | ) to specify one flag from each group.

Example

Java

using Leadtools; 
using Leadtools.ImageProcessing; 
using Leadtools.Codecs; 
using Leadtools.ImageProcessing.Core; 
 
public void FastFourierTransformCommandExample() 
{ 
   // 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, Leadtools.RasterSizeFlags.Bicubic); 
 
   sizecommand.Run(image); 
 
   FourierTransformInformation FTArray = new FourierTransformInformation(image); 
   // Apply FFT. 
   FastFourierTransformCommand command = new FastFourierTransformCommand(FTArray, 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 fastFourierTransformCommandExample() { 
    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(); 
    command.setFourierTransformInformation(ftArray); 
    command.setFlags(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_constructorResult.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

Overload List

Download our FREE evaluation

Help Version 23.0.2024.3.3

Leadtools.ImageProcessing.Core Assembly

Introduction

Getting Started

Namespaces

Leadtools.ImageProcessing.Core Namespace

Assemblies