曝光补偿器,尝试通过独立调整每个通道的图像强度来去除曝光相关的伪影。 更多...
#include <opencv2/stitching/detail/exposure_compensate.hpp>
曝光补偿器,尝试通过独立调整每个通道的图像强度来去除曝光相关的伪影。
- 示例
- samples/cpp/stitching_detailed.cpp.
◆ ChannelsCompensator()
cv::detail::ChannelsCompensator::ChannelsCompensator |
( |
int |
nr_feeds = 1 | ) |
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inline |
Python |
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| cv.detail.ChannelsCompensator( | [, nr_feeds] | ) -> | <detail_ChannelsCompensator 对象> |
◆ apply()
Python |
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| cv.detail.ChannelsCompensator.apply( | index, corner, image, mask | ) -> | image |
◆ feed()
void cv::detail::ChannelsCompensator::feed |
( |
const std::vector< Point > & |
corners, |
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const std::vector< UMat > & |
images, |
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const std::vector< std::pair< UMat, uchar > > & |
masks |
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) |
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virtual |
◆ gains()
std::vector< Scalar > cv::detail::ChannelsCompensator::gains |
( |
| ) |
const |
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inline |
◆ getMatGains()
void cv::detail::ChannelsCompensator::getMatGains |
( |
std::vector< Mat > & |
umv | ) |
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virtual |
Python |
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| cv.detail.ChannelsCompensator.getMatGains( | [, umv] | ) -> | umv |
◆ getNrFeeds()
int cv::detail::ChannelsCompensator::getNrFeeds |
( |
| ) |
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inline |
Python |
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| cv.detail.ChannelsCompensator.getNrFeeds( | | ) -> | retval |
◆ getSimilarityThreshold()
double cv::detail::ChannelsCompensator::getSimilarityThreshold |
( |
| ) |
const |
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inline |
Python |
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| cv.detail.ChannelsCompensator.getSimilarityThreshold( | | ) -> | retval |
◆ setMatGains()
void cv::detail::ChannelsCompensator::setMatGains |
( |
std::vector< Mat > & |
umv | ) |
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virtual |
Python |
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| cv.detail.ChannelsCompensator.setMatGains( | umv | ) -> | None |
◆ setNrFeeds()
void cv::detail::ChannelsCompensator::setNrFeeds |
( |
int |
nr_feeds | ) |
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inline |
Python |
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| cv.detail.ChannelsCompensator.setNrFeeds( | nr_feeds | ) -> | None |
◆ setSimilarityThreshold()
void cv::detail::ChannelsCompensator::setSimilarityThreshold |
( |
double |
similarity_threshold | ) |
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inline |
Python |
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| cv.detail.ChannelsCompensator.setSimilarityThreshold( | similarity_threshold | ) -> | None |
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