Class cv::detail::ChannelsCompensator#

Exposure compensator which tries to remove exposure related artifacts by adjusting image intensities on each channel independently.

Collaboration diagram for cv::detail::ChannelsCompensator:

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 on each channel independently.

Examples
samples/cpp/stitching_detailed.cpp.

Constructor & Destructor Documentation#

ChannelsCompensator()#

cv::detail::ChannelsCompensator::ChannelsCompensator(int nr_feeds = 1)

Python:

cv.detail.ChannelsCompensator([, nr_feeds]) -> <detail_ChannelsCompensator object>

Member Function Documentation#

apply()#

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

Python:

cv.detail.ChannelsCompensator.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::ChannelsCompensator::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< Scalar > cv::detail::ChannelsCompensator::gains()

getMatGains()#

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

Python:

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

getNrFeeds()#

int cv::detail::ChannelsCompensator::getNrFeeds()

Python:

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

getSimilarityThreshold()#

double cv::detail::ChannelsCompensator::getSimilarityThreshold()

Python:

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

setMatGains()#

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

Python:

cv.detail.ChannelsCompensator.setMatGains(umv)

setNrFeeds()#

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

Python:

cv.detail.ChannelsCompensator.setNrFeeds(nr_feeds)

setSimilarityThreshold()#

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

Python:

cv.detail.ChannelsCompensator.setSimilarityThreshold(similarity_threshold)

Member Data Documentation#

gains_#

std::vector< Scalar > cv::detail::ChannelsCompensator::gains_

nr_feeds_#

int cv::detail::ChannelsCompensator::nr_feeds_

similarity_threshold_#

double cv::detail::ChannelsCompensator::similarity_threshold_

Source file#

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