Class cv::detail::GainCompensator#

Exposure compensator which tries to remove exposure related artifacts by adjusting image intensities, see [47] and [342] for details.

Collaboration diagram for cv::detail::GainCompensator:

Public Types#

Public Types inherited from cv::detail::ExposureCompensator

Return

Name

Description

``

Public Member Functions#

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

Static Public Member Functions#

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

Return

Name

Description

static Ptr< ExposureCompensator >

createDefault(int type)

Additional Inherited Members#

Protected Attributes inherited from cv::detail::ExposureCompensator

Return

Name

Description

bool

updateGain

Detailed Description#

Exposure compensator which tries to remove exposure related artifacts by adjusting image intensities, see [47] and [342] for details.

Examples
samples/cpp/stitching_detailed.cpp.

Constructor & Destructor Documentation#

GainCompensator()#

cv::detail::GainCompensator::GainCompensator()

Python:

cv.detail.GainCompensator() -> <detail_GainCompensator object>
cv.detail.GainCompensator(nr_feeds) -> <detail_GainCompensator object>

GainCompensator()#

cv::detail::GainCompensator::GainCompensator(int nr_feeds)

Python:

cv.detail.GainCompensator() -> <detail_GainCompensator object>
cv.detail.GainCompensator(nr_feeds) -> <detail_GainCompensator object>

Member Function Documentation#

apply()#

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

Python:

cv.detail.GainCompensator.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

feed()#

void cv::detail::GainCompensator::feed(
const std::vector< Point > & corners,
const std::vector< UMat > & images,
const std::vector< std::pair< UMat, uchar > > & masks )

This is an overloaded member function, provided for convenience. It differs from the above function only in what argument(s) it accepts.

gains()#

std::vector< double > cv::detail::GainCompensator::gains()

getMatGains()#

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

Python:

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

getNrFeeds()#

int cv::detail::GainCompensator::getNrFeeds()

Python:

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

getSimilarityThreshold()#

double cv::detail::GainCompensator::getSimilarityThreshold()

Python:

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

prepareSimilarityMask()#

void cv::detail::GainCompensator::prepareSimilarityMask(
const std::vector< Point > & corners,
const std::vector< UMat > & images )

setMatGains()#

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

Python:

cv.detail.GainCompensator.setMatGains(umv)

setNrFeeds()#

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

Python:

cv.detail.GainCompensator.setNrFeeds(nr_feeds)

setSimilarityThreshold()#

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

Python:

cv.detail.GainCompensator.setSimilarityThreshold(similarity_threshold)

singleFeed()#

void cv::detail::GainCompensator::singleFeed(
const std::vector< Point > & corners,
const std::vector< UMat > & images,
const std::vector< std::pair< UMat, uchar > > & masks )

buildSimilarityMask()#

UMat cv::detail::GainCompensator::buildSimilarityMask(
InputArray src_array1,
InputArray src_array2 )

Member Data Documentation#

gains_#

Mat_< double > cv::detail::GainCompensator::gains_

nr_feeds_#

int cv::detail::GainCompensator::nr_feeds_

similarities_#

std::vector< UMat > cv::detail::GainCompensator::similarities_

similarity_threshold_#

double cv::detail::GainCompensator::similarity_threshold_

Source file#

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