vendor: OpenCV 5.0.0 snapshot at 755e50675d97db9b7d449d8bd6b09888646f6c6e
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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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// License Agreement
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// For Open Source Computer Vision Library
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// Copyright (C) 2015, OpenCV Foundation, all rights reserved.
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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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