61 lines
3.1 KiB
C++
61 lines
3.1 KiB
C++
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/*M///////////////////////////////////////////////////////////////////////////////////////
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//
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// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
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//
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// By downloading, copying, installing or using the software you agree to this license.
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// If you do not agree to this license, do not download, install,
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// copy or use the software.
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//
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//
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// License Agreement
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// For Open Source Computer Vision Library
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//
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// Copyright (C) 2015, OpenCV Foundation, all rights reserved.
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// Third party copyrights are property of their respective owners.
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//
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// Redistribution and use in source and binary forms, with or without modification,
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// are permitted provided that the following conditions are met:
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//
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// * Redistribution's of source code must retain the above copyright notice,
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// this list of conditions and the following disclaimer.
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//
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// * Redistribution's in binary form must reproduce the above copyright notice,
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// this list of conditions and the following disclaimer in the documentation
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// and/or other materials provided with the distribution.
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//
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// * The name of the copyright holders may not be used to endorse or promote products
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// derived from this software without specific prior written permission.
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//
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// This software is provided by the copyright holders and contributors "as is" and
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// any express or implied warranties, including, but not limited to, the implied
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// warranties of merchantability and fitness for a particular purpose are disclaimed.
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// In no event shall the Intel Corporation or contributors be liable for any direct,
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// indirect, incidental, special, exemplary, or consequential damages
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// (including, but not limited to, procurement of substitute goods or services;
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// loss of use, data, or profits; or business interruption) however caused
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// and on any theory of liability, whether in contract, strict liability,
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// or tort (including negligence or otherwise) arising in any way out of
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// the use of this software, even if advised of the possibility of such damage.
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//
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//M*/
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#include "opencv2/phase_unwrapping/phase_unwrapping.hpp"
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#include "opencv2/phase_unwrapping/histogramphaseunwrapping.hpp"
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/** @defgroup phase_unwrapping Phase Unwrapping API
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Two-dimensional phase unwrapping is found in different applications like terrain elevation estimation
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in synthetic aperture radar (SAR), field mapping in magnetic resonance imaging or as a way of finding
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corresponding pixels in structured light reconstruction with sinusoidal patterns.
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Given a phase map, wrapped between [-pi; pi], phase unwrapping aims at finding the "true" phase map
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by adding the right number of 2*pi to each pixel.
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The problem is straightforward for perfect wrapped phase map, but real data are usually not noise-free.
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Among the different algorithms that were developed, quality-guided phase unwrapping methods are fast
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and efficient. They follow a path that unwraps high quality pixels first,
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avoiding error propagation from the start.
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In this module, a quality-guided phase unwrapping is implemented following the approach described in @cite histogramUnwrapping .
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*/
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