Class cv::MergeExposures#

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

#include <opencv2/photo.hpp>

Collaboration diagram for cv::MergeExposures:

Public Member Functions#

Public Member Functions inherited from cv::Algorithm

Return	Name	Description
	`Algorithm()`
	`~Algorithm()`
`void`	`clear()`	Clears the algorithm state.
`bool`	`empty()`	Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read.
`String`	`getDefaultName()`
`void`	`read(const FileNode & fn)`	Reads algorithm parameters from a file storage.
`void`	`save(const String & filename)`
`void`	`write(` `const Ptr< FileStorage > & fs,` `const String & name = String() )`
`void`	`write(FileStorage & fs)`	Stores algorithm parameters in a file storage.
`void`	`write(` `FileStorage & fs,` `const String & name )`

Static Public Member Functions inherited from cv::Algorithm

Return	Name	Description
`static Ptr< _Tp >`	`load(` `const String & filename,` `const String & objname = String() )`	Loads algorithm from the file.
`static Ptr< _Tp >`	`loadFromString(` `const String & strModel,` `const String & objname = String() )`	Loads algorithm from a String.
`static Ptr< _Tp >`	`read(const FileNode & fn)`	Reads algorithm from the file node.

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

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: