cv::MergeMertens Class Reference

Pixels are weighted using contrast, saturation and well-exposedness measures, than images are combined using laplacian pyramids. More...

#include <opencv2/photo.hpp>

Inheritance diagram for cv::MergeMertens:

Collaboration diagram for cv::MergeMertens:

Public Member Functions
virtual void	clear ()
	Clears the algorithm state. More...
virtual bool	empty () const
	Returns true if the Algorithm is empty (e.g. More...
virtual float	getContrastWeight () const =0
virtual String	getDefaultName () const
	Returns the algorithm string identifier. More...
virtual float	getExposureWeight () const =0
virtual float	getSaturationWeight () const =0
virtual void	process (InputArrayOfArrays src, OutputArray dst, InputArray times, InputArray response) CV_OVERRIDE=0
	Merges images. More...
virtual void	process (InputArrayOfArrays src, OutputArray dst)=0
	Short version of process, that doesn't take extra arguments. More...
virtual void	read (const FileNode &fn)
	Reads algorithm parameters from a file storage. More...
virtual void	save (const String &filename) const
	Saves the algorithm to a file. More...
virtual void	setContrastWeight (float contrast_weiht)=0
virtual void	setExposureWeight (float exposure_weight)=0
virtual void	setSaturationWeight (float saturation_weight)=0
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...

Static Public Member Functions
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
void	writeFormat (FileStorage &fs) const

Detailed Description

Pixels are weighted using contrast, saturation and well-exposedness measures, than images are combined using laplacian pyramids.

The resulting image weight is constructed as weighted average of contrast, saturation and well-exposedness measures.

The resulting image doesn't require tonemapping and can be converted to 8-bit image by multiplying by 255, but it's recommended to apply gamma correction and/or linear tonemapping.

For more information see [66] .

Member Function Documentation

clear()

virtual void cv::Algorithm::clear ( )

inlinevirtualinherited

Clears the algorithm state.

Reimplemented in cv::FlannBasedMatcher, and cv::DescriptorMatcher.

empty()

virtual bool cv::Algorithm::empty ( ) const

inlinevirtualinherited

Returns true if the Algorithm is empty (e.g.

in the very beginning or after unsuccessful read

Reimplemented in cv::DescriptorMatcher, cv::ml::StatModel, cv::Feature2D, and cv::BaseCascadeClassifier.

getContrastWeight()

virtual float cv::MergeMertens::getContrastWeight ( ) const

pure virtual

getDefaultName()

virtual String cv::Algorithm::getDefaultName ( ) const

virtualinherited

Returns the algorithm string identifier.

This string is used as top level xml/yml node tag when the object is saved to a file or string.

Reimplemented in cv::AKAZE, cv::KAZE, cv::SimpleBlobDetector, cv::GFTTDetector, cv::AgastFeatureDetector, cv::FastFeatureDetector, cv::MSER, cv::ORB, cv::BRISK, and cv::Feature2D.

getExposureWeight()

virtual float cv::MergeMertens::getExposureWeight ( ) const

pure virtual

getSaturationWeight()

virtual float cv::MergeMertens::getSaturationWeight ( ) const

pure virtual

load()

template<typename _Tp >

static Ptr<_Tp> cv::Algorithm::load ( const String &  filename, const String &  objname = String()  )

inlinestaticinherited

Loads algorithm from the file.

Parameters

filename	Name of the file to read.
objname	The optional name of the node to read (if empty, the first top-level node will be used)

This is static template method of Algorithm. It's usage is following (in the case of SVM):

Ptr<SVM> svm = Algorithm::load<SVM>("my_svm_model.xml");

In order to make this method work, the derived class must overwrite Algorithm::read(const FileNode& fn).

References CV_Assert, cv::FileNode::empty(), cv::FileStorage::getFirstTopLevelNode(), cv::FileStorage::isOpened(), and cv::FileStorage::READ.

Here is the call graph for this function:

loadFromString()

template<typename _Tp >

static Ptr<_Tp> cv::Algorithm::loadFromString ( const String &  strModel, const String &  objname = String()  )

inlinestaticinherited

Loads algorithm from a String.

Parameters

strModel	The string variable containing the model you want to load.
objname	The optional name of the node to read (if empty, the first top-level node will be used)

This is static template method of Algorithm. It's usage is following (in the case of SVM):

Ptr<SVM> svm = Algorithm::loadFromString<SVM>(myStringModel);

References CV_WRAP, cv::FileNode::empty(), cv::FileStorage::getFirstTopLevelNode(), cv::FileStorage::MEMORY, and cv::FileStorage::READ.

Here is the call graph for this function:

process() [1/2]

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

pure virtual

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.

Implements cv::MergeExposures.

process() [2/2]

virtual void cv::MergeMertens::process ( InputArrayOfArrays  src, OutputArray  dst  )

pure virtual

Short version of process, that doesn't take extra arguments.

Parameters

src	vector of input images
dst	result image

read() [1/2]

virtual void cv::Algorithm::read ( const FileNode &  fn )

inlinevirtualinherited

Reads algorithm parameters from a file storage.

Reimplemented in cv::FlannBasedMatcher, cv::DescriptorMatcher, and cv::Feature2D.

read() [2/2]

template<typename _Tp >

static Ptr<_Tp> cv::Algorithm::read ( const FileNode &  fn )

inlinestaticinherited

Reads algorithm from the file node.

This is static template method of Algorithm. It's usage is following (in the case of SVM):

cv::FileStorage fsRead("example.xml", FileStorage::READ);
Ptr<SVM> svm = Algorithm::read<SVM>(fsRead.root());

In order to make this method work, the derived class must overwrite Algorithm::read(const FileNode& fn) and also have static create() method without parameters (or with all the optional parameters)

save()

virtual void cv::Algorithm::save ( const String &  filename ) const

virtualinherited

Saves the algorithm to a file.

In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

setContrastWeight()

virtual void cv::MergeMertens::setContrastWeight ( float  contrast_weiht )

pure virtual

setExposureWeight()

virtual void cv::MergeMertens::setExposureWeight ( float  exposure_weight )

pure virtual

setSaturationWeight()

virtual void cv::MergeMertens::setSaturationWeight ( float  saturation_weight )

pure virtual

write() [1/2]

virtual void cv::Algorithm::write ( FileStorage &  fs ) const

inlinevirtualinherited

Stores algorithm parameters in a file storage.

Reimplemented in cv::FlannBasedMatcher, cv::DescriptorMatcher, and cv::Feature2D.

References CV_WRAP.

Referenced by cv::Feature2D::write(), and cv::DescriptorMatcher::write().

Here is the caller graph for this function:

write() [2/2]

void cv::Algorithm::write ( const Ptr< FileStorage > &  fs, const String &  name = String()  ) const

inherited

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.

writeFormat()

void cv::Algorithm::writeFormat ( FileStorage &  fs ) const

protectedinherited

---

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

• opencv2/photo.hpp