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Methods for the extraction of low-level image features, including global image features and pixel/patch classification models.
/**
* 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.pixel.statistics;
import org.openimaj.image.Image;
import org.openimaj.math.geometry.line.Line2d;
import org.openimaj.math.geometry.point.Point2d;
/**
* Interface for classes capable of building "models"
* of pixels along a line.
*
* @author Jonathon Hare ([email protected])
*
* @param Concrete type of {@link Image}
*/
public interface PixelProfileModel> {
/**
* Update the model with a new sample.
* @param image the image to extract the sample from
* @param line the line across with to sample
*/
public void updateModel(I image, Line2d line);
/**
* Extract numSamples samples from the line in the image and
* then compare this model at each overlapping position starting
* from the first sample at the beginning of the line.
*
* numSamples must be bigger than the number of samples used to
* construct the model. In addition, callers are responsible for
* ensuring the sampling rate between the new samples and the model
* is equal.
*
* The point on the line corresponding to the smallest Mahalanobis
* distance is returned.
*
* @param image the image to sample
* @param line the line to sample along
* @param numSamples the number of samples to make
* @return the "best" position on the line
*/
public Point2d computeNewBest(I image, Line2d line, int numSamples);
/**
* Compute the cost of a vector of samples extracted
* along a line in the given image to the internal model.
*
* @param image the image to sample
* @param line the line to sample along
* @return the computed cost
*/
public float computeCost(I image, Line2d line);
/**
* Compute the distance between the centre of the given
* line and the given point, normalised as a function of
* the length of the sampling line.
*
* @param image the image to sample
* @param line the line to sample along
* @param numSamples the number of samples to make
* @param pt the point to compare
* @return the normalised distance (0 means same point; 1 means on end of line)
*/
public float computeMovementDistance(I image, Line2d line, int numSamples, Point2d pt);
}
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