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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.algorithm;
import org.openimaj.citation.annotation.Reference;
import org.openimaj.citation.annotation.ReferenceType;
import org.openimaj.image.FImage;
import org.openimaj.image.mask.AbstractMaskedObject;
import org.openimaj.image.processor.ImageProcessor;
/**
* An image processor that performs contrast equalisation
* in a robust manner with a mask.
*
* @author Jonathon Hare ([email protected])
*/
@Reference(
type = ReferenceType.Article,
author = { "Tan, Xiaoyang", "Triggs, Bill" },
title = "Enhanced local texture feature sets for face recognition under difficult lighting conditions",
year = "2010",
journal = "Trans. Img. Proc.",
pages = { "1635", "", "1650" },
url = "http://dx.doi.org/10.1109/TIP.2010.2042645",
month = "June",
number = "6",
publisher = "IEEE Press",
volume = "19"
)
public class MaskedRobustContrastEqualisation extends AbstractMaskedObject implements ImageProcessor {
double alpha = 0.1;
double tau = 10;
/**
* Construct with no mask set
*/
public MaskedRobustContrastEqualisation() {
super();
}
/**
* Construct with a mask.
* @param mask the mask.
*/
public MaskedRobustContrastEqualisation(FImage mask) {
super(mask);
}
@Override
public void processImage(FImage image) {
//1st pass
image.divideInplace(firstPassDivisor(image, mask));
//2nd pass
image.divideInplace(secondPassDivisor(image, mask));
//3rd pass
for (int y=0; y
