OpenCV
3.2.0
Open Source Computer Vision
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Gray-world white balance algorithm. More...
#include "white_balance.hpp"
Public Member Functions | |
virtual float | getSaturationThreshold () const =0 |
Maximum saturation for a pixel to be included in the gray-world assumption. More... | |
virtual void | setSaturationThreshold (float val)=0 |
Maximum saturation for a pixel to be included in the gray-world assumption. More... | |
Public Member Functions inherited from cv::xphoto::WhiteBalancer | |
virtual void | balanceWhite (InputArray src, OutputArray dst)=0 |
Applies white balancing to the input image. More... | |
Public Member Functions inherited from cv::Algorithm | |
Algorithm () | |
virtual | ~Algorithm () |
virtual void | clear () |
Clears the algorithm state. More... | |
virtual bool | empty () const |
Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read. More... | |
virtual String | getDefaultName () const |
virtual void | read (const FileNode &fn) |
Reads algorithm parameters from a file storage. More... | |
virtual void | save (const String &filename) const |
virtual void | write (FileStorage &fs) const |
Stores algorithm parameters in a file storage. More... | |
Additional Inherited Members | |
Static Public Member Functions inherited from cv::Algorithm | |
template<typename _Tp > | |
static Ptr< _Tp > | load (const String &filename, const String &objname=String()) |
Loads algorithm from the file. More... | |
template<typename _Tp > | |
static Ptr< _Tp > | loadFromString (const String &strModel, const String &objname=String()) |
Loads algorithm from a String. More... | |
template<typename _Tp > | |
static Ptr< _Tp > | read (const FileNode &fn) |
Reads algorithm from the file node. More... | |
Protected Member Functions inherited from cv::Algorithm | |
void | writeFormat (FileStorage &fs) const |
Gray-world white balance algorithm.
This algorithm scales the values of pixels based on a gray-world assumption which states that the average of all channels should result in a gray image.
It adds a modification which thresholds pixels based on their saturation value and only uses pixels below the provided threshold in finding average pixel values.
Saturation is calculated using the following for a 3-channel RGB image per pixel I and is in the range [0, 1]:
\[ \texttt{Saturation} [I] = \frac{\textrm{max}(R,G,B) - \textrm{min}(R,G,B) }{\textrm{max}(R,G,B)} \]
A threshold of 1 means that all pixels are used to white-balance, while a threshold of 0 means no pixels are used. Lower thresholds are useful in white-balancing saturated images.
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pure virtual |
Maximum saturation for a pixel to be included in the gray-world assumption.
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pure virtual |
Maximum saturation for a pixel to be included in the gray-world assumption.