The base class algorithms that can merge exposure sequence to a single image. More...

#include <opencv2/photo.hpp>

Inheritance diagram for cv::MergeExposures:

Public Member Functions
virtual void	process (InputArrayOfArrays src, OutputArray dst, InputArray times, InputArray response)=0
	Merges images. 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...

void	write (const Ptr< FileStorage > &fs, const String &name=String()) const
	simplified API for language bindings This is an overloaded member function, provided for convenience. It differs from the above function only in what argument(s) it accepts. 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

Detailed Description

The base class algorithms that can merge exposure sequence to a single image.

Member Function Documentation

virtual void cv::MergeExposures::process	(	InputArrayOfArrays	src,
		OutputArray	dst,
		InputArray	times,
		InputArray	response
	)

pure virtual

Python:
	cv.MergeExposures.process(	src, times, response[, dst]	) ->	dst

Merges images.

Parameters

src	vector of input images
dst	result image
times	vector of exposure time values for each image
response	256x1 matrix with inverse camera response function for each pixel value, it should have the same number of channels as images.

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