cv::AlignMTB Class Reference

This algorithm converts images to median threshold bitmaps (1 for pixels brighter than median luminance and 0 otherwise) and than aligns the resulting bitmaps using bit operations. More...

#include <opencv2/photo.hpp>

Collaboration diagram for cv::AlignMTB:

Public Member Functions
virtual Point	calculateShift (InputArray img0, InputArray img1)=0
	Calculates shift between two images, i. e. how to shift the second image to correspond it with the first.
virtual void	computeBitmaps (InputArray img, OutputArray tb, OutputArray eb)=0
	Computes median threshold and exclude bitmaps of given image.
virtual bool	getCut () const =0
virtual int	getExcludeRange () const =0
virtual int	getMaxBits () const =0
virtual void	process (InputArrayOfArrays src, std::vector< Mat > &dst)=0
	Short version of process, that doesn't take extra arguments.
virtual void	process (InputArrayOfArrays src, std::vector< Mat > &dst, InputArray times, InputArray response) CV_OVERRIDE=0
	Aligns images.
virtual void	setCut (bool value)=0
virtual void	setExcludeRange (int exclude_range)=0
virtual void	setMaxBits (int max_bits)=0
virtual void	shiftMat (InputArray src, OutputArray dst, const Point shift)=0
	Helper function, that shift Mat filling new regions with zeros.
Public Member Functions inherited from cv::AlignExposures
Public Member Functions inherited from cv::Algorithm
	Algorithm ()
virtual	~Algorithm ()
virtual void	clear ()
	Clears the algorithm state.
virtual bool	empty () const
	Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read.
virtual String	getDefaultName () const
virtual void	read (const FileNode &fn)
	Reads algorithm parameters from a file storage.
virtual void	save (const String &filename) const
virtual void	write (FileStorage &fs) const
	Stores algorithm parameters in a file storage.
void	write (FileStorage &fs, const String &name) const

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.
template<typename _Tp >
static Ptr< _Tp >	loadFromString (const String &strModel, const String &objname=String())
	Loads algorithm from a String.
template<typename _Tp >
static Ptr< _Tp >	read (const FileNode &fn)
	Reads algorithm from the file node.
Protected Member Functions inherited from cv::Algorithm
void	writeFormat (FileStorage &fs) const

Detailed Description

This algorithm converts images to median threshold bitmaps (1 for pixels brighter than median luminance and 0 otherwise) and than aligns the resulting bitmaps using bit operations.

It is invariant to exposure, so exposure values and camera response are not necessary.

In this implementation new image regions are filled with zeros.

For more information see [296] .

Member Function Documentation

calculateShift()

virtual Point cv::AlignMTB::calculateShift ( InputArray img0, InputArray img1 )

pure virtual

Python:
	cv.AlignMTB.calculateShift(	img0, img1	) ->	retval

Calculates shift between two images, i. e. how to shift the second image to correspond it with the first.

Parameters

img0	first image
img1	second image

computeBitmaps()

virtual void cv::AlignMTB::computeBitmaps ( InputArray img, OutputArray tb, OutputArray eb )

pure virtual

Python:
	cv.AlignMTB.computeBitmaps(	img[, tb[, eb]]	) ->	tb, eb

Computes median threshold and exclude bitmaps of given image.

Parameters

img	input image
tb	median threshold bitmap
eb	exclude bitmap

getCut()

virtual bool cv::AlignMTB::getCut ( ) const

pure virtual

Python:
	cv.AlignMTB.getCut(		) ->	retval

getExcludeRange()

virtual int cv::AlignMTB::getExcludeRange ( ) const

pure virtual

Python:
	cv.AlignMTB.getExcludeRange(		) ->	retval

getMaxBits()

virtual int cv::AlignMTB::getMaxBits ( ) const

pure virtual

Python:
	cv.AlignMTB.getMaxBits(		) ->	retval

process() [1/2]

virtual void cv::AlignMTB::process ( InputArrayOfArrays src, std::vector< Mat > & dst )

pure virtual

Python:
	cv.AlignMTB.process(	src, dst, times, response	) ->	None
	cv.AlignMTB.process(	src, dst	) ->	None

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

Parameters

src	vector of input images
dst	vector of aligned images

process() [2/2]

virtual void cv::AlignMTB::process ( InputArrayOfArrays src, std::vector< Mat > & dst, InputArray times, InputArray response )

pure virtual

Python:
	cv.AlignMTB.process(	src, dst, times, response	) ->	None
	cv.AlignMTB.process(	src, dst	) ->	None

Aligns images.

Parameters

src	vector of input images
dst	vector of aligned images
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::AlignExposures.

setCut()

virtual void cv::AlignMTB::setCut ( bool value )

pure virtual

Python:
	cv.AlignMTB.setCut(	value	) ->	None

setExcludeRange()

virtual void cv::AlignMTB::setExcludeRange ( int exclude_range )

pure virtual

Python:
	cv.AlignMTB.setExcludeRange(	exclude_range	) ->	None

setMaxBits()

virtual void cv::AlignMTB::setMaxBits ( int max_bits )

pure virtual

Python:
	cv.AlignMTB.setMaxBits(	max_bits	) ->	None

shiftMat()

virtual void cv::AlignMTB::shiftMat ( InputArray src, OutputArray dst, const Point shift )

pure virtual

Python:
	cv.AlignMTB.shiftMat(	src, shift[, dst]	) ->	dst

Helper function, that shift Mat filling new regions with zeros.

Parameters

src	input image
dst	result image
shift	shift value

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

• opencv2/photo.hpp