Class cv::detail::BlocksCompensator#

Exposure compensator which tries to remove exposure related artifacts by adjusting image blocks.

#include <opencv2/stitching/detail/exposure_compensate.hpp>

Collaboration diagram for cv::detail::BlocksCompensator:

Public Types#

Public Member Functions#

Public Member Functions inherited from cv::detail::ExposureCompensator

Return	Name	Description
	`ExposureCompensator()`
	`~ExposureCompensator()`
`void`	`apply(` `int index,` `Point corner,` `InputOutputArray image,` `InputArray mask )`	Compensate exposure in the specified image.
`void`	`feed(` `const std::vector< Point > & corners,` `const std::vector< UMat > & images,` `const std::vector< std::pair< UMat, uchar > > & masks )`
`void`	`feed(` `const std::vector< Point > & corners,` `const std::vector< UMat > & images,` `const std::vector< UMat > & masks )`
`void`	`getMatGains(std::vector< Mat > &)`
`bool`	`getUpdateGain()`
`void`	`setMatGains(std::vector< Mat > &)`
`void`	`setUpdateGain(bool b)`

Static Public Member Functions#

Additional Inherited Members#

Detailed Description#

Exposure compensator which tries to remove exposure related artifacts by adjusting image blocks.

Examples: samples/cpp/stitching_detailed.cpp.

Constructor & Destructor Documentation#

BlocksCompensator()#

cv::detail::BlocksCompensator::BlocksCompensator(
int bl_width = 32,
int bl_height = 32,
int nr_feeds = 1 )

Member Function Documentation#

apply()#

void cv::detail::BlocksCompensator::apply(
int index,
Point corner,
InputOutputArray image,
InputArray mask )

Python:

cv.detail.BlocksCompensator.apply(index, corner, image, mask) -> image

Compensate exposure in the specified image.

Parameters

index — Image index
corner — Image top-left corner
image — Image to process
mask — Image mask

getBlockSize()#

Size cv::detail::BlocksCompensator::getBlockSize()

Python:

cv.detail.BlocksCompensator.getBlockSize() -> retval

getMatGains()#

void cv::detail::BlocksCompensator::getMatGains(std::vector< Mat > & umv)

Python:

cv.detail.BlocksCompensator.getMatGains([, umv]) -> umv

getNrFeeds()#

int cv::detail::BlocksCompensator::getNrFeeds()

Python:

cv.detail.BlocksCompensator.getNrFeeds() -> retval

getNrGainsFilteringIterations()#

int cv::detail::BlocksCompensator::getNrGainsFilteringIterations()

Python:

cv.detail.BlocksCompensator.getNrGainsFilteringIterations() -> retval

getSimilarityThreshold()#

double cv::detail::BlocksCompensator::getSimilarityThreshold()

Python:

cv.detail.BlocksCompensator.getSimilarityThreshold() -> retval

setBlockSize()#

void cv::detail::BlocksCompensator::setBlockSize(
int width,
int height )

Python:

cv.detail.BlocksCompensator.setBlockSize(width, height)

cv.detail.BlocksCompensator.setBlockSize(size)

setBlockSize()#

void cv::detail::BlocksCompensator::setBlockSize(Size size)

Python:

cv.detail.BlocksCompensator.setBlockSize(width, height)

cv.detail.BlocksCompensator.setBlockSize(size)

Here is the call graph for this function:

setMatGains()#

void cv::detail::BlocksCompensator::setMatGains(std::vector< Mat > & umv)

Python:

cv.detail.BlocksCompensator.setMatGains(umv)

setNrFeeds()#

void cv::detail::BlocksCompensator::setNrFeeds(int nr_feeds)

Python:

cv.detail.BlocksCompensator.setNrFeeds(nr_feeds)

setNrGainsFilteringIterations()#

void cv::detail::BlocksCompensator::setNrGainsFilteringIterations(int nr_iterations)

Python:

cv.detail.BlocksCompensator.setNrGainsFilteringIterations(nr_iterations)

setSimilarityThreshold()#

void cv::detail::BlocksCompensator::setSimilarityThreshold(double similarity_threshold)

Python:

cv.detail.BlocksCompensator.setSimilarityThreshold(similarity_threshold)

feedWithStrategy()#

template<class Compensator>
void cv::detail::BlocksCompensator::feedWithStrategy(
const std::vector< Point > & corners,
const std::vector< UMat > & images,
const std::vector< std::pair< UMat, uchar > > & masks )

getGainMap()#

UMat cv::detail::BlocksCompensator::getGainMap(
const ChannelsCompensator & compensator,
int bl_idx,
Size bl_per_img )

getGainMap()#

UMat cv::detail::BlocksCompensator::getGainMap(
const GainCompensator & compensator,
int bl_idx,
Size bl_per_img )

Member Data Documentation#

bl_height_#

int cv::detail::BlocksCompensator::bl_height_

bl_width_#

int cv::detail::BlocksCompensator::bl_width_

gain_maps_#

std::vector< UMat > cv::detail::BlocksCompensator::gain_maps_

nr_feeds_#

int cv::detail::BlocksCompensator::nr_feeds_

nr_gain_filtering_iterations_#

int cv::detail::BlocksCompensator::nr_gain_filtering_iterations_

similarity_threshold_#

double cv::detail::BlocksCompensator::similarity_threshold_

Source file#

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

opencv2/stitching/detail/exposure_compensate.hpp