cv::xfeatures2d::StarDetector 类参考

该类实现了由 [2] 引入的关键点检测器，与 StarDetector 同义。 : 更多信息...

#include <opencv2/xfeatures2d.hpp>

cv::xfeatures2d::StarDetector 的协作图

公共成员函数
String	getDefaultName () const CV_OVERRIDE
virtual int	getLineThresholdBinarized () const =0
virtual int	getLineThresholdProjected () const =0
virtual int	getMaxSize () const =0
virtual int	getResponseThreshold () const =0
virtual int	getSuppressNonmaxSize () const =0
virtual void	setLineThresholdBinarized (int _lineThresholdBinarized)=0
virtual void	setLineThresholdProjected (int _lineThresholdProjected)=0
virtual void	setMaxSize (int _maxSize)=0
virtual void	setResponseThreshold (int _responseThreshold)=0
virtual void	setSuppressNonmaxSize (int _suppressNonmaxSize)=0
从 cv::Feature2D 继承的公共成员函数
virtual	~Feature2D ()
virtual void	compute (InputArray image, std::vector< KeyPoint > &keypoints, OutputArray descriptors)
	计算图像中检测到的一组关键点的描述符（第一种情况）或图像集（第二种情况）的描述符。
virtual void	compute (InputArrayOfArrays images, std::vector< std::vector< KeyPoint > > &keypoints, OutputArrayOfArrays descriptors)
virtual int	defaultNorm () const
virtual int	descriptorSize () const
virtual int	descriptorType () const
virtual void	detect (InputArray image, std::vector< KeyPoint > &keypoints, InputArray mask=noArray())
	检测图片（第一种变体）或图片集（第二种变体）中的关键点。
virtual void	detect (InputArrayOfArrays images, std::vector< std::vector< KeyPoint > > &keypoints, InputArrayOfArrays masks=noArray())
virtual void	detectAndCompute (InputArray image, InputArray mask, std::vector< KeyPoint > &keypoints, OutputArray descriptors, bool useProvidedKeypoints=false)
virtual bool	empty () const CV_OVERRIDE
	如果检测器对象为空则返回true。
virtual void	read (const FileNode &) CV_OVERRIDE
	从文件存储中读取算法参数。
void	read (const String &fileName)
void	write (const Ptr< FileStorage > &fs, const String &name) const
void	write (const String &fileName) const
virtual void	write (FileStorage &) const CV_OVERRIDE
	将算法参数存储在文件存储中。
void	write (FileStorage &fs, const String &name) const
从cv::Algorithm继承的公共成员函数
	Algorithm ()
virtual	~Algorithm ()
virtual void	clear ()
	清除算法状态。
virtual void	save (const String &filename) const
void	write (const Ptr< FileStorage > &fs, const String &name=String()) const
void	write (FileStorage &fs, const String &name) const

静态公共成员函数
static Ptr< StarDetector >	create (int maxSize=45, int responseThreshold=30, int lineThresholdProjected=10, int lineThresholdBinarized=8, int suppressNonmaxSize=5)
	完整的构造函数
从cv::Algorithm继承的静态公共成员函数
template<typename _Tp >
static Ptr< _Tp >	load (const String &filename, const String &objname=String())
	从文件加载数学算法。
template<typename _Tp >
static Ptr< _Tp >	loadFromString (const String &strModel, const String &objname=String())
	从字符串加载数学算法。
template<typename _Tp >
static Ptr< _Tp >	read (const FileNode &fn)
	从文件节点读取算法。

其他继承成员
从 cv::Algorithm 继承的受保护成员函数
void	writeFormat (FileStorage &fs) const

详细描述

此类实现了由 [2] 引入的关键点检测技术，是 StarDetector 的同义词。

成员函数文档

create()

static Ptr< StarDetector > cv::xfeatures2d::StarDetector::create ( int  maxSize = 45, int  responseThreshold = 30, int  lineThresholdProjected = 10, int  lineThresholdBinarized = 8, int  suppressNonmaxSize = 5  )

static

Python
	cv.xfeatures2d.StarDetector.create(	[, maxSize[, responseThreshold[, lineThresholdProjected[, lineThresholdBinarized[, suppressNonmaxSize]]]]]	) ->	retval
	cv.xfeatures2d.StarDetector_create(	[, maxSize[, responseThreshold[, lineThresholdProjected[, lineThresholdBinarized[, suppressNonmaxSize]]]]]	) ->	retval

完整的构造函数

getDefaultName()

String cv::xfeatures2d::StarDetector::getDefaultName ( ) const

virtual

Python
	cv.xfeatures2d.StarDetector.getDefaultName(		) ->	retval

返回算法字符串标识符。当将对象保存到文件或字符串时，该字符串用于顶层 xml/yml 节点标记。

重写了 cv::Feature2D。

getLineThresholdBinarized()

virtual int cv::xfeatures2d::StarDetector::getLineThresholdBinarized ( ) const

纯虚

Python
	cv.xfeatures2d.StarDetector.getLineThresholdBinarized(		) ->	retval

getLineThresholdProjected()

virtual int cv::xfeatures2d::StarDetector::getLineThresholdProjected ( ) const

纯虚

Python
	cv.xfeatures2d.StarDetector.getLineThresholdProjected(		) ->	retval

getMaxSize()

virtual int cv::xfeatures2d::StarDetector::getMaxSize ( ) const

纯虚

Python
	cv.xfeatures2d.StarDetector.getMaxSize(		) ->	retval

getResponseThreshold()

virtual int cv::xfeatures2d::StarDetector::getResponseThreshold ( ) const

纯虚

Python
	cv.xfeatures2d.StarDetector.getResponseThreshold(		) ->	retval

getSuppressNonmaxSize()

virtual int cv::xfeatures2d::StarDetector::getSuppressNonmaxSize ( ) const

纯虚

Python
	cv.xfeatures2d.StarDetector.getSuppressNonmaxSize(		) ->	retval

setLineThresholdBinarized()

virtual void cv::xfeatures2d::StarDetector::setLineThresholdBinarized ( int  _lineThresholdBinarized )

纯虚

Python
	cv.xfeatures2d.StarDetector.setLineThresholdBinarized(	_lineThresholdBinarized	) ->	None

setLineThresholdProjected()

virtual void cv::xfeatures2d::StarDetector::setLineThresholdProjected ( int  _lineThresholdProjected )

纯虚

Python
	cv.xfeatures2d.StarDetector.setLineThresholdProjected(	_lineThresholdProjected	) ->	None

setMaxSize()

virtual void cv::xfeatures2d::StarDetector::setMaxSize ( int  _maxSize )

纯虚

Python
	cv.xfeatures2d.StarDetector.setMaxSize(	_maxSize	) ->	None

setResponseThreshold()

virtual void cv::xfeatures2d::StarDetector::setResponseThreshold ( int  _responseThreshold )

纯虚

Python
	cv.xfeatures2d.StarDetector.setResponseThreshold(	_responseThreshold	) ->	None

setSuppressNonmaxSize()

虚函数 cv::xfeatures2d::StarDetector::setSuppressNonmaxSize ( int  _suppressNonmaxSize )

纯虚

Python
	cv.xfeatures2d.StarDetector.set SuppressNonmaxSize(	_suppressNonmaxSize	) ->	None

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本类的文档是由以下文件生成的

• opencv2/xfeatures2d.hpp