More sophisticated learning-based automatic white balance algorithm. More...

Public Member Functions
void	extractSimpleFeatures (Mat src, Mat dst)
	Implements the feature extraction part of the algorithm.

int	getHistBinNum ()
	Defines the size of one dimension of a three-dimensional RGB histogram that is used internally by the algorithm. It often makes sense to increase the number of bins for images with higher bit depth (e.g. 256 bins for a 12 bit image).

int	getRangeMaxVal ()
	Maximum possible value of the input image (e.g. 255 for 8 bit images, 4095 for 12 bit images)

float	getSaturationThreshold ()
	Threshold that is used to determine saturated pixels, i.e. pixels where at least one of the channels exceeds \(\texttt{saturation_threshold}\times\texttt{range_max_val}\) are ignored.

void	setHistBinNum (int val)

void	setRangeMaxVal (int val)

void	setSaturationThreshold (float val)

Public Member Functions inherited from OpenCVForUnity.XphotoModule.WhiteBalancer
void	balanceWhite (Mat src, Mat dst)
	Applies white balancing to the input image.

Public Member Functions inherited from OpenCVForUnity.CoreModule.Algorithm
virtual void	clear ()
	Clears the algorithm state.

virtual bool	empty ()
	Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read.

virtual string	getDefaultName ()

IntPtr	getNativeObjAddr ()

void	save (string filename)

Public Member Functions inherited from OpenCVForUnity.DisposableObject
void	Dispose ()

void	ThrowIfDisposed ()

Static Public Member Functions
static new LearningBasedWB	__fromPtr__ (IntPtr addr)

Static Public Member Functions inherited from OpenCVForUnity.XphotoModule.WhiteBalancer
static new WhiteBalancer	__fromPtr__ (IntPtr addr)

Static Public Member Functions inherited from OpenCVForUnity.CoreModule.Algorithm
static Algorithm	__fromPtr__ (IntPtr addr)

Static Public Member Functions inherited from OpenCVForUnity.DisposableObject
static IntPtr	ThrowIfNullIntPtr (IntPtr ptr)

Protected Member Functions
override void	Dispose (bool disposing)

Protected Member Functions inherited from OpenCVForUnity.XphotoModule.WhiteBalancer
override void	Dispose (bool disposing)

Protected Member Functions inherited from OpenCVForUnity.CoreModule.Algorithm
Protected Member Functions inherited from OpenCVForUnity.DisposableOpenCVObject
	DisposableOpenCVObject ()

	DisposableOpenCVObject (bool isEnabledDispose)

	DisposableOpenCVObject (IntPtr ptr)

	DisposableOpenCVObject (IntPtr ptr, bool isEnabledDispose)

Protected Member Functions inherited from OpenCVForUnity.DisposableObject
	DisposableObject ()

	DisposableObject (bool isEnabledDispose)

Additional Inherited Members
Package Functions inherited from OpenCVForUnity.XphotoModule.WhiteBalancer
Package Functions inherited from OpenCVForUnity.CoreModule.Algorithm
Package Attributes inherited from OpenCVForUnity.DisposableOpenCVObject
Properties inherited from OpenCVForUnity.DisposableObject
bool	IsDisposed `[get, protected set]`

bool	IsEnabledDispose `[get, set]`

Detailed Description

More sophisticated learning-based automatic white balance algorithm.

As GrayworldWB, this algorithm works by applying different gains to the input image channels, but their computation is a bit more involved compared to the simple gray-world assumption. More details about the algorithm can be found in [Cheng2015] .

To mask out saturated pixels this function uses only pixels that satisfy the following condition:

\[ \frac{\textrm{max}(R,G,B)}{\texttt{range_max_val}} < \texttt{saturation_thresh} \]

Currently supports images of type CV_8UC3 and CV_16UC3.

Member Function Documentation

◆ fromPtr()

static new LearningBasedWB OpenCVForUnity.XphotoModule.LearningBasedWB.__fromPtr__ ( IntPtr addr )

static

◆ Dispose()

override void OpenCVForUnity.XphotoModule.LearningBasedWB.Dispose ( bool disposing )

protectedvirtual

Reimplemented from OpenCVForUnity.CoreModule.Algorithm.

◆ extractSimpleFeatures()

void OpenCVForUnity.XphotoModule.LearningBasedWB.extractSimpleFeatures	(	Mat	src,
		Mat	dst )

Implements the feature extraction part of the algorithm.

In accordance with [Cheng2015] , computes the following features for the input image:

Chromaticity of an average (R,G,B) tuple
Chromaticity of the brightest (R,G,B) tuple (while ignoring saturated pixels)
Chromaticity of the dominant (R,G,B) tuple (the one that has the highest value in the RGB histogram)
Mode of the chromaticity palette, that is constructed by taking 300 most common colors according to the RGB histogram and projecting them on the chromaticity plane. Mode is the most high-density point of the palette, which is computed by a straightforward fixed-bandwidth kernel density estimator with a Epanechnikov kernel function.

Parameters

src	Input three-channel image (BGR color space is assumed).
dst	An array of four (r,g) chromaticity tuples corresponding to the features listed above.

◆ getHistBinNum()

int OpenCVForUnity.XphotoModule.LearningBasedWB.getHistBinNum ( )

Defines the size of one dimension of a three-dimensional RGB histogram that is used internally by the algorithm. It often makes sense to increase the number of bins for images with higher bit depth (e.g. 256 bins for a 12 bit image).

See also: setHistBinNum

◆ getRangeMaxVal()

int OpenCVForUnity.XphotoModule.LearningBasedWB.getRangeMaxVal ( )

Maximum possible value of the input image (e.g. 255 for 8 bit images, 4095 for 12 bit images)

See also: setRangeMaxVal

◆ getSaturationThreshold()

float OpenCVForUnity.XphotoModule.LearningBasedWB.getSaturationThreshold ( )

Threshold that is used to determine saturated pixels, i.e. pixels where at least one of the channels exceeds \(\texttt{saturation_threshold}\times\texttt{range_max_val}\) are ignored.

See also: setSaturationThreshold

◆ setHistBinNum()

void OpenCVForUnity.XphotoModule.LearningBasedWB.setHistBinNum ( int val )

Defines the size of one dimension of a three-dimensional RGB histogram that is used internally by the algorithm. It often makes sense to increase the number of bins for images with higher bit depth (e.g. 256 bins for a 12 bit image).

See also: getHistBinNum

◆ setRangeMaxVal()

void OpenCVForUnity.XphotoModule.LearningBasedWB.setRangeMaxVal ( int val )

Maximum possible value of the input image (e.g. 255 for 8 bit images, 4095 for 12 bit images)

See also: getRangeMaxVal

◆ setSaturationThreshold()

void OpenCVForUnity.XphotoModule.LearningBasedWB.setSaturationThreshold ( float val )

Threshold that is used to determine saturated pixels, i.e. pixels where at least one of the channels exceeds \(\texttt{saturation_threshold}\times\texttt{range_max_val}\) are ignored.

See also: getSaturationThreshold

The documentation for this class was generated from the following file:

OpenCVForUnity/Assets/OpenCVForUnity/org/opencv_contrib/xphoto/LearningBasedWB.cs

Public Member Functions

Static Public Member Functions

Protected Member Functions

Additional Inherited Members