Seon-Wook Park
10 years ago
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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) 2000-2008, Intel Corporation, all rights reserved.
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// Copyright (C) 2009-2011, Willow Garage Inc., 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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// warranties of merchantability and fitness for a particular purpose are disclaimed.
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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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#ifndef __OPENCV_GRAYWORLD_WHITE_BALANCE_HPP__ |
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#define __OPENCV_GRAYWORLD_WHITE_BALANCE_HPP__ |
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/** @file
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@date Jun 3, 2015 |
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@author Seon-Wook Park |
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*/ |
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#include <opencv2/core.hpp> |
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namespace cv { namespace xphoto { |
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//! @addtogroup xphoto
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//! @{
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/** @brief Implements a simple grayworld white balance algorithm.
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The function autowbGrayworld scales the values of pixels based on a |
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gray-world assumption which states that the average of all channels |
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should result in a gray image. |
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This function adds a modification which thresholds pixels based on their |
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saturation value and only uses pixels below the provided threshold in |
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finding average pixel values. |
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Saturation is calculated using the following for a 3-channel RGB image per |
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pixel I and is in the range [0, 1]: |
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\f[ \texttt{Saturation} [I] = \frac{\textrm{max}(R,G,B) - \textrm{min}(R,G,B) |
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}{\textrm{max}(R,G,B)} \f] |
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A threshold of 1 means that all pixels are used to white-balance, while a |
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threshold of 0 means no pixels are used. Lower thresholds are useful in |
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white-balancing saturated images. |
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Currently only works on images of type @ref CV_8UC3. |
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@param src Input array. |
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@param dst Output array of the same size and type as src. |
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@param thresh Maximum saturation for a pixel to be included in the |
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gray-world assumption. |
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@sa balanceWhite |
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*/ |
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CV_EXPORTS_W void autowbGrayworld(InputArray src, OutputArray dst, |
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const float thresh = 0.5f); |
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//! @}
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}} |
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#endif // __OPENCV_GRAYWORLD_WHITE_BALANCE_HPP__
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