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/**
* Copyright (c) 2011, The University of Southampton and the individual contributors.
* All rights reserved.
*
* Redistribution and use in source and binary forms, with or without modification,
* are permitted provided that the following conditions are met:
*
* * Redistributions of source code must retain the above copyright notice,
* this list of conditions and the following disclaimer.
*
* * Redistributions in binary form must reproduce the above copyright notice,
* this list of conditions and the following disclaimer in the documentation
* and/or other materials provided with the distribution.
*
* * Neither the name of the University of Southampton nor the names of its
* contributors may be used to endorse or promote products derived from this
* software without specific prior written permission.
*
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
* ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
* WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
* DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR
* ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
* (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
* LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON
* ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
* (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
* SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
*/
package org.openimaj.image.processing.convolution;
import static java.lang.Math.PI;
import static java.lang.Math.exp;
import org.openimaj.image.FImage;
import org.openimaj.math.util.FloatArrayStatsUtils;
/**
* 2D Laplacian of Gaussian filter
*
* @author Jonathon Hare ([email protected])
*/
public class LaplacianOfGaussian2D extends FConvolution {
/**
* Construct with given kernel size and variance.
* @param width kernel width
* @param height kernel height
* @param sigma variance
*/
public LaplacianOfGaussian2D(int width, int height, float sigma) {
super(createKernelImage(width, height, sigma));
}
/**
* Construct with given kernel size and variance.
* @param size kernel width/height
* @param sigma variance
*/
public LaplacianOfGaussian2D(int size, float sigma) {
super(createKernelImage(size, size, sigma));
}
/**
* Create a kernel image with given kernel size and variance.
* @param size image height/width.
* @param sigma variance.
* @return new kernel image.
*/
public static FImage createKernelImage(int size, float sigma) {
return createKernelImage(size, size, sigma);
}
/**
* Create a kernel image with given kernel size and variance.
* @param width image width.
* @param height image height.
* @param sigma variance.
* @return new kernel image.
*/
public static FImage createKernelImage(int width, int height, float sigma) {
FImage f = new FImage(width, height);
int hw = (width-1)/2;
int hh = (height-1)/2;
float sigmasq = sigma * sigma;
float sigma4 = sigmasq*sigmasq;
for (int y=-hh, j=0; y
