package edu.stanford.rsl.tutorial.atract; import ij.ImageJ; import edu.stanford.rsl.conrad.data.numeric.Grid1D; import edu.stanford.rsl.conrad.data.numeric.Grid1DComplex; import edu.stanford.rsl.conrad.data.numeric.Grid2D; import edu.stanford.rsl.conrad.data.numeric.Grid3D; import edu.stanford.rsl.conrad.utils.FFTUtil; import edu.stanford.rsl.conrad.utils.VisualizationUtil; import edu.stanford.rsl.tutorial.filters.GridKernel; /** * This class implements the 1-D version of the Laplacian Kernel ( 1 -2 1 ) * @author Marco Boegel (Reco Project 2012 - Individual Project) * */ public class LaplaceKernel1D extends Grid1DComplex implements GridKernel { public LaplaceKernel1D(final int size) { // initialize the superclass super(size); // gets the real size (Number of complex numbers) final int paddedSize = getSize()[0]; // set the kernel setAtIndex(0, -2); setAtIndex(1, 1); setAtIndex(paddedSize-1, 1); // do forward fourier transform transformForward(); } /** * This method implements the Convolution in Fourier Space for a 1-D Grid. * @param input 1-D Image */ public void applyToGrid(Grid1D input) { Grid1DComplex subGrid = new Grid1DComplex(input); int size = subGrid.getSize()[0]; subGrid.transformForward(); for (int idx = 0; idx < size; ++idx) { subGrid.multiplyAtIndex(idx, getRealAtIndex(idx), getImagAtIndex(idx)); } subGrid.transformInverse(); Grid1D filteredSinoSub = subGrid.getRealSubGrid(0, input.getSize()[0]); for(int i = 0 ; i < input.getSize()[0]; i++) { input.setAtIndex(i, filteredSinoSub.getAtIndex(i)); } } /** * This method implements the Convolution with a 2-D Image by applying the Filter to each 1-D subgrid. * @param input 2-D Image */ public void applyToGrid(Grid2D input) { int iter = input.getSize()[1]; for(int i = 0; i < iter; i++) { applyToGrid(input.getSubGrid(i)); } } /** * This method implements the Convolution with a 3-D Image by applying the Filter recursively to each 2-D subgrid. * @param input 3-D Image */ public void applyToGrid(Grid3D input) { int iter = input.getSize()[2]; for(int i = 0; i < iter; i++) { applyToGrid(input.getSubGrid(i)); } } public final static void main(String[] args) { new ImageJ(); // 1D example final int size = 200; LaplaceKernel1D r = new LaplaceKernel1D(size); Grid1D in = new Grid1D(new float[size]); for(int i= 0 ; i < size; i++) in.setAtIndex(i, 0); int k = 30; for(int i = 3*size/8; i< size/2; i++) { in.setAtIndex(i, k); } for(int i = size/2; i < 5*size/8; i++) { in.setAtIndex(i, k); } VisualizationUtil.createPlot("before",in.getBuffer()).show(); VisualizationUtil.createPlot("Filter",r.getMagSubGrid(0, r.getSize()[0]).getBuffer()).show(); // save old signal Grid1D inSave = new Grid1D(in); r.applyToGrid(in); VisualizationUtil.createPlot("after",in.getBuffer()).show(); // 2D example Grid2D in2D = new Grid2D(size,size); for (int j = 0; j < in2D.getHeight(); j++) { for (int i = 0; i < in2D.getWidth(); i++) { in2D.setAtIndex(i,j,inSave.getAtIndex(i)); } } in2D.show("Grid2D input"); r.applyToGrid(in2D); in2D.show("Grid2D Laplace"); } } /* * Copyright (C) 2010-2014 Marco B�gel * CONRAD is developed as an Open Source project under the GNU General Public License (GPL). */