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/*------------------------------------------------------------------------------------------*\
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   This file contains material supporting chapter 4 of the cookbook:  
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   Computer Vision Programming using the OpenCV Library.
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   by Robert Laganiere, Packt Publishing, 2011.
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   This program is free software; permission is hereby granted to use, copy, modify,
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   and distribute this source code, or portions thereof, for any purpose, without fee,
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   subject to the restriction that the copyright notice may not be removed
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   or altered from any source or altered source distribution.
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   The software is released on an as-is basis and without any warranties of any kind.
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   In particular, the software is not guaranteed to be fault-tolerant or free from failure.
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   The author disclaims all warranties with regard to this software, any use,
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   and any consequent failure, is purely the responsibility of the user.
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   Copyright (C) 2010-2011 Robert Laganiere, www.laganiere.name
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\*------------------------------------------------------------------------------------------*/
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#if !defined ICOMPARATOR
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#define ICOMPARATOR
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#include <opencv2/core/core.hpp>
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#include <opencv2/imgproc/imgproc.hpp>
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#include "colorhistogram.h"
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class ImageComparator {
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  private:
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        cv::Mat reference;
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        cv::Mat input;
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        cv::MatND refH;
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        cv::MatND inputH;
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        ColorHistogram hist;
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        int div;
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  public:
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        ImageComparator() : div(32) {
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        }
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        // Color reduction factor
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        // The comparaison will be made on images with
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        // color space reduced by this factor in each dimension
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        void setColorReduction( int factor) {
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                div= factor;
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        }
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        int getColorReduction() {
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                return div;
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        }
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        void setReferenceImage(const cv::Mat& image) {
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                reference= hist.colorReduce(image,div);
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                refH= hist.getHistogram(reference);
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        }
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        double compare(const cv::Mat& image) {
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                input= hist.colorReduce(image,div);
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                inputH= hist.getHistogram(input);
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                return cv::compareHist(refH,inputH,CV_COMP_INTERSECT);
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        }
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};
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#endif