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/*------------------------------------------------------------------------------------------*\
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   This file contains material supporting chapter 5 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 WATERSHS
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#define WATERSHS
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#include <opencv2/core/core.hpp>
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#include <opencv2/imgproc/imgproc.hpp>
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class WatershedSegmenter {
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  private:
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          cv::Mat markers;
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  public:
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          void setMarkers(const cv::Mat& markerImage) {
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                // Convert to image of ints
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                markerImage.convertTo(markers,CV_32S);
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          }
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          cv::Mat process(const cv::Mat &image) {
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                // Apply watershed
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                cv::watershed(image,markers);
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                return markers;
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          }
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          // Return result in the form of an image
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          cv::Mat getSegmentation() {
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                cv::Mat tmp;
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                // all segment with label higher than 255
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                // will be assigned value 255
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                markers.convertTo(tmp,CV_8U);
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                return tmp;
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          }
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          // Return watershed in the form of an image
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          cv::Mat getWatersheds() {
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                cv::Mat tmp;
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                markers.convertTo(tmp,CV_8U,255,255);
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                return tmp;
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          }
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};
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#endif