cv::detail::GainCompensator 类参考

曝光补偿器，尝试通过调整图像强度来消除与曝光相关的伪影，有关详细信息，请参阅 [41] 和 [304]。 更多...

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

cv::detail::GainCompensator 的协作图

公共成员函数
	GainCompensator ()
	GainCompensator (int nr_feeds)
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< double >	gains () const
void	getMatGains (std::vector< Mat > &umv) CV_OVERRIDE
int	getNrFeeds ()
double	getSimilarityThreshold () const
void	prepareSimilarityMask (const std::vector< Point > &corners, const std::vector< UMat > &images)
void	setMatGains (std::vector< Mat > &umv) CV_OVERRIDE
void	setNrFeeds (int nr_feeds)
void	setSimilarityThreshold (double similarity_threshold)
void	singleFeed (const std::vector< Point > &corners, const std::vector< UMat > &images, const std::vector< std::pair< UMat, uchar > > &masks)
从 cv::detail::ExposureCompensator 继承的公共成员函数
	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
从 cv::detail::ExposureCompensator 继承的公共类型
enum	{   NO ,   GAIN ,   GAIN_BLOCKS ,   CHANNELS ,   CHANNELS_BLOCKS }
从 cv::detail::ExposureCompensator 继承的静态公共成员函数
static Ptr< ExposureCompensator >	createDefault (int type)
从 cv::detail::ExposureCompensator 继承的受保护属性
bool	updateGain

详细描述

曝光补偿器，尝试通过调整图像强度来消除与曝光相关的伪影，有关详细信息，请参阅 [41] 和 [304]。

示例

samples/cpp/stitching_detailed.cpp.

构造函数和析构函数文档

GainCompensator() [1/2]

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

inline

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

GainCompensator() [2/2]

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

inline

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

成员函数文档

apply()

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

virtual

Python
	cv.detail.GainCompensator.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	图像蒙版

实现 cv::detail::ExposureCompensator。

feed()

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

virtual

这是重载的成员函数，为了方便起见。它与上面的函数的区别仅在于它接受的参数。

实现 cv::detail::ExposureCompensator。

gains()

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

(

)

const

getMatGains()

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

virtual

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

从 cv::detail::ExposureCompensator 重新实现。

getNrFeeds()

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

inline

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

getSimilarityThreshold()

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

inline

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 )

virtual

Python
	cv.detail.GainCompensator.setMatGains(	umv	) ->	None

从 cv::detail::ExposureCompensator 重新实现。

setNrFeeds()

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

inline

Python
	cv.detail.GainCompensator.setNrFeeds(	nr_feeds	) ->	None

示例

samples/cpp/stitching_detailed.cpp.

setSimilarityThreshold()

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

inline

Python
	cv.detail.GainCompensator.setSimilarityThreshold(	similarity_threshold	) ->	None

singleFeed()

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

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此类的文档是根据以下文件生成的

• opencv2/stitching/detail/exposure_compensate.hpp