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December 9, 2019 14:07
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package com.example; | |
import java.io.IOException; | |
import net.imagej.Dataset; | |
import net.imagej.ImageJ; | |
import net.imagej.ImgPlus; | |
import net.imagej.ops.filter.pad.PadInputFFTMethods; | |
import net.imglib2.RandomAccessibleInterval; | |
import net.imglib2.type.NativeType; | |
import net.imglib2.type.numeric.RealType; | |
import net.imglib2.type.numeric.complex.ComplexFloatType; | |
import net.imglib2.type.numeric.real.FloatType; | |
import net.imglib2.view.Views; | |
/** | |
* Tests involving convolvers. | |
*/ | |
public class FFTConvolve { | |
static String workingDir = "/home/bnorthan/images/DeconQuickTest/"; | |
static String imgName = workingDir + "CElegans-CY3.tif"; | |
public static <T extends RealType<T> & NativeType<T>> void main( | |
final String[] args) throws IOException | |
{ | |
System.out.println(System.getProperty("user.dir")); | |
// create an instance of imagej | |
final ImageJ ij = new ImageJ(); | |
// launch it | |
ij.launch(args); | |
// get an image | |
Dataset dataBridge = (Dataset) ij.io().open("../../images/bridge.tif"); | |
ImgPlus<T> impBridge = (ImgPlus<T>) dataBridge.getImgPlus(); | |
// convert to float | |
RandomAccessibleInterval<FloatType> img = ij.op().convert().float32( | |
impBridge); | |
ij.ui().show(img); | |
// create a kernel | |
RandomAccessibleInterval<T> kernel = (RandomAccessibleInterval<T>) ij.op() | |
.create().kernelGauss(4.0, 4.0); | |
// pad image to next valid FFT size.. there is currently an op matching bug so | |
// the namespace call doesn't work... | |
// img = ij.op().filter().padFFTInput(img, img); | |
// so run the pad op directly | |
img = Views.zeroMin((RandomAccessibleInterval<FloatType>) ij.op().run( | |
PadInputFFTMethods.class, img, img)); | |
// now pad the kernel... note we also need to shift the kernel so the center is at 0,0 | |
// there is an op that pads to next valid FFT size and shifts at the same time | |
kernel = Views.zeroMin(ij.op().filter().padShiftFFTKernel(kernel, img)); | |
// create an image for the output | |
RandomAccessibleInterval<FloatType> convolved = ij.op().copy().rai(img); | |
// take the FFT of the kernel | |
RandomAccessibleInterval<ComplexFloatType> kernelFFT = ij.op().filter().fft( | |
kernel); | |
// now we can call convolve with parameters | |
// convolved (output) | |
// img (input) | |
// img (dummy variable for kernel, we should be able to pass null in for this someday) | |
// ij.op().copy().rai(kernelFFT), buffer for the img FFT | |
// kernelFFT - the pre-computed kernel FFT | |
// true - indicates we need to do FFT on the image | |
// false - indicates we don't need to do FFT on the kernel (because it was already computed) | |
ij.op().filter().convolve(convolved, img, img, ij.op().copy().rai( | |
kernelFFT), kernelFFT, true, false); | |
ij.ui().show(convolved); | |
// need to unpad as well... | |
System.out.println("finished"); | |
} | |
} |
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