org.openimaj.image.feature.local.interest.HessianIPD Maven / Gradle / Ivy

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Methods for the extraction of local features. Local features are descriptions of regions of images (SIFT, ...) selected by detectors (Difference of Gaussian, Harris, ...).

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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
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 * SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
 */
package org.openimaj.image.feature.local.interest;

import org.openimaj.image.FImage;
import org.openimaj.image.processing.convolution.BasicDerivativeKernels;


public class HessianIPD extends AbstractStructureTensorIPD {
	public HessianIPD(float detectionScale, float integrationScale) {
		super(detectionScale, integrationScale);
	}
	
	@Override
	public FImage createInterestPointMap() {
		FImage lxx = l.process(BasicDerivativeKernels.DXX_KERNEL).multiplyInplace(detectionScale*detectionScale);
		FImage lxy = l.process(BasicDerivativeKernels.DXY_KERNEL).multiplyInplace(detectionScale*detectionScale);
		FImage lyy = l.process(BasicDerivativeKernels.DYY_KERNEL).multiplyInplace(detectionScale*detectionScale);
		
		return lxx.multiply(lyy).subtractInplace(lxy.multiply(lxy)).abs(); 
	}

	@Override
	public HessianIPD clone() {
		return (HessianIPD) super.clone();
	}
}