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- /*M///////////////////////////////////////////////////////////////////////////////////////
- //
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- //
- // By downloading, copying, installing or using the software you agree to this license.
- // If you do not agree to this license, do not download, install,
- // copy or use the software.
- //
- //
- // License Agreement
- // For Open Source Computer Vision Library
- //
- // Copyright (C) 2015, OpenCV Foundation, all rights reserved.
- // Third party copyrights are property of their respective owners.
- //
- // Redistribution and use in source and binary forms, with or without modification,
- // are permitted provided that the following conditions are met:
- //
- // * Redistribution's of source code must retain the above copyright notice,
- // this list of conditions and the following disclaimer.
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- // * Redistribution's in binary form must reproduce the above copyright notice,
- // this list of conditions and the following disclaimer in the documentation
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- // * The name of the copyright holders may not be used to endorse or promote products
- // derived from this software without specific prior written permission.
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- //M*/
- #ifndef __OPENCV_HISTOGRAM_PHASE_UNWRAPPING_HPP__
- #define __OPENCV_HISTOGRAM_PHASE_UNWRAPPING_HPP__
- #include "opencv2/core.hpp"
- #include <opencv2/imgproc.hpp>
- #include "opencv2/phase_unwrapping/phase_unwrapping.hpp"
- namespace cv {
- namespace phase_unwrapping {
- //! @addtogroup phase_unwrapping
- //! @{
- /** @brief Class implementing two-dimensional phase unwrapping based on @cite histogramUnwrapping
- * This algorithm belongs to the quality-guided phase unwrapping methods.
- * First, it computes a reliability map from second differences between a pixel and its eight neighbours.
- * Reliability values lie between 0 and 16*pi*pi. Then, this reliability map is used to compute
- * the reliabilities of "edges". An edge is an entity defined by two pixels that are connected
- * horizontally or vertically. Its reliability is found by adding the the reliabilities of the
- * two pixels connected through it. Edges are sorted in a histogram based on their reliability values.
- * This histogram is then used to unwrap pixels, starting from the highest quality pixel.
- * The wrapped phase map and the unwrapped result are stored in CV_32FC1 Mat.
- */
- class CV_EXPORTS_W HistogramPhaseUnwrapping : public PhaseUnwrapping
- {
- public:
- /**
- * @brief Parameters of phaseUnwrapping constructor.
- * @param width Phase map width.
- * @param height Phase map height.
- * @param histThresh Bins in the histogram are not of equal size. Default value is 3*pi*pi. The one before "histThresh" value are smaller.
- * @param nbrOfSmallBins Number of bins between 0 and "histThresh". Default value is 10.
- * @param nbrOfLargeBins Number of bins between "histThresh" and 32*pi*pi (highest edge reliability value). Default value is 5.
- */
- struct CV_EXPORTS Params
- {
- Params();
- int width;
- int height;
- float histThresh;
- int nbrOfSmallBins;
- int nbrOfLargeBins;
- };
- /**
- * @brief Constructor
- * @param parameters HistogramPhaseUnwrapping parameters HistogramPhaseUnwrapping::Params: width,height of the phase map and histogram characteristics.
- */
- static Ptr<HistogramPhaseUnwrapping> create( const HistogramPhaseUnwrapping::Params ¶meters =
- HistogramPhaseUnwrapping::Params() );
- /**
- * @brief Get the reliability map computed from the wrapped phase map.
- * @param reliabilityMap Image where the reliability map is stored.
- */
- CV_WRAP
- virtual void getInverseReliabilityMap( OutputArray reliabilityMap ) = 0;
- };
- //! @}
- }
- }
- #endif
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