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cv::detail::ChannelsCompensator 类参考

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>

cv::detail::ChannelsCompensator 的协作图

公共成员函数

 ChannelsCompensator (int nr_feeds=1)
 
void apply (int index, Point corner, InputOutputArray image, InputArray mask) CV_OVERRIDE
 补偿指定图像中的曝光。
 
void feed (const std::vector< Point > &corners, const std::vector< UMat > &images, const std::vector< std::pair< UMat, uchar > > &masks) CV_OVERRIDE
 
std::vector< Scalargains () const
 
void getMatGains (std::vector< Mat > &umv) CV_OVERRIDE
 
int getNrFeeds ()
 
double getSimilarityThreshold () const
 
void setMatGains (std::vector< Mat > &umv) CV_OVERRIDE
 
void setNrFeeds (int nr_feeds)
 
void setSimilarityThreshold (double similarity_threshold)
 
- 继承自 cv::detail::ExposureCompensator 的公共成员函数
 ExposureCompensator ()
 
virtual ~ExposureCompensator ()
 
void feed (const std::vector< Point > &corners, const std::vector< UMat > &images, const std::vector< UMat > &masks)
 
bool getUpdateGain ()
 
void setUpdateGain (bool b)
 

其他继承成员

- 继承自 cv::detail::ExposureCompensator 的公共类型
枚举  {
  NO ,
  GAIN ,
  GAIN_BLOCKS ,
  CHANNELS ,
  CHANNELS_BLOCKS
}
 
- 继承自 cv::detail::ExposureCompensator 的静态公共成员函数
static Ptr< ExposureCompensatorcreateDefault (int type)
 
- 继承自 cv::detail::ExposureCompensator 的受保护属性
bool updateGain
 

详细描述

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.

构造函数和析构函数文档

◆ ChannelsCompensator()

cv::detail::ChannelsCompensator::ChannelsCompensator ( int nr_feeds = 1)
inline
Python
cv.detail.ChannelsCompensator([, nr_feeds]) -> <detail_ChannelsCompensator 对象>

成员函数文档

◆ apply()

void cv::detail::ChannelsCompensator::apply ( int index,
Point corner,
InputOutputArray image,
InputArray mask )
virtual
Python
cv.detail.ChannelsCompensator.apply(index, corner, image, mask) -> image

补偿指定图像中的曝光。

参数
index图像索引
corner图像左上角
image要处理的图像
mask图像掩码

实现 cv::detail::ExposureCompensator

◆ feed()

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

这是一个重载的成员函数,为了方便提供。它与上面的函数的区别仅仅在于它接受的参数。

实现 cv::detail::ExposureCompensator

◆ gains()

std::vector< Scalar > cv::detail::ChannelsCompensator::gains ( ) const
inline

◆ getMatGains()

void cv::detail::ChannelsCompensator::getMatGains ( std::vector< Mat > & umv)
virtual
Python
cv.detail.ChannelsCompensator.getMatGains([, umv]) -> umv

◆ getNrFeeds()

int cv::detail::ChannelsCompensator::getNrFeeds ( )
inline
Python
cv.detail.ChannelsCompensator.getNrFeeds() -> retval

◆ getSimilarityThreshold()

double cv::detail::ChannelsCompensator::getSimilarityThreshold ( ) const
inline
Python
cv.detail.ChannelsCompensator.getSimilarityThreshold() -> retval

◆ setMatGains()

void cv::detail::ChannelsCompensator::setMatGains ( std::vector< Mat > & umv)
virtual
Python
cv.detail.ChannelsCompensator.setMatGains(umv) -> None

◆ setNrFeeds()

void cv::detail::ChannelsCompensator::setNrFeeds ( int nr_feeds)
inline
Python
cv.detail.ChannelsCompensator.setNrFeeds(nr_feeds) -> None

◆ setSimilarityThreshold()

void cv::detail::ChannelsCompensator::setSimilarityThreshold ( double similarity_threshold)
inline
Python
cv.detail.ChannelsCompensator.setSimilarityThreshold(similarity_threshold) -> None

此类的文档是从以下文件生成的: