cv::AgastFeatureDetector 类参考

使用 AGAST 方法进行特征检测的包装类。: 更多…

#include <opencv2/features2d.hpp>

cv::AgastFeatureDetector 的协作图

公共类型
枚举	{   THRESHOLD = 10000 ,   NONMAX_SUPPRESSION = 10001 }
枚举	DetectorType {   AGAST_5_8 = 0 ,   AGAST_7_12d = 1 ,   AGAST_7_12s = 2 ,   OAST_9_16 = 3 }

公共成员函数
virtual String	getDefaultName () const CV_OVERRIDE
virtual bool	getNonmaxSuppression () const =0
virtual int	getThreshold () const =0
virtual AgastFeatureDetector::DetectorType	getType () const =0
virtual void	setNonmaxSuppression (bool f)=0
virtual void	setThreshold (int threshold)=0
virtual void	setType (AgastFeatureDetector::DetectorType type)=0
继承自 cv::Feature2D 的公共成员函数
virtual	~Feature2D ()
virtual void	compute (InputArray image, std::vector< KeyPoint > &keypoints, OutputArray descriptors)
	计算在一幅图像（第一种变体）或图像集（第二种变体）中检测到的关键点的描述符。
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())
	检测图像（第一种变体）或图像集（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
继承自 cv::Algorithm 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< AgastFeatureDetector >	create (int threshold=10, bool nonmaxSuppression=true, AgastFeatureDetector::DetectorType type=AgastFeatureDetector::OAST_9_16)
继承自 cv::Algorithm 的静态公共成员函数
template<typename _Tp >
static Ptr< _Tp >	load (const String &filename, const String &objname=String())
	从文件中加载算法。
template<typename _Tp >
static Ptr< _Tp >	loadFromString (const String &strModel, const String &objname=String())
	从字符串加载算法。
template<typename _Tp >
static Ptr< _Tp >	read (const FileNode &fn)
	从文件节点读取算法。

继承的附加成员
从 cv::Algorithm 继承的受保护成员函数
void	writeFormat (FileStorage &fs) const

详细描述

使用AGAST方法进行特征检测的包装类。

成员枚举文档

匿名枚举

匿名枚举

枚举器
THRESHOLD
NONMAX_SUPPRESSION

DetectorType

枚举 cv::AgastFeatureDetector::DetectorType

枚举器
AGAST_5_8
AGAST_7_12d
AGAST_7_12s
OAST_9_16

成员函数文档

create()

static Ptr< AgastFeatureDetector > cv::AgastFeatureDetector::create ( int threshold = 10, bool nonmaxSuppression = true, AgastFeatureDetector::DetectorType type = AgastFeatureDetector::OAST_9_16 )

static

Python
	cv.AgastFeatureDetector.create(	[, threshold[, nonmaxSuppression[, type]]]	) ->	retval
	cv.AgastFeatureDetector_create(	[, threshold[, nonmaxSuppression[, type]]]	) ->	retval

getDefaultName()

virtual String cv::AgastFeatureDetector::getDefaultName ( ) const

virtual

Python
	cv.AgastFeatureDetector.getDefaultName(		) ->	retval

返回算法字符串标识符。当对象保存到文件或字符串时，此字符串用作顶级 xml/yml 节点标记。

从 cv::Feature2D 重实现。

getNonmaxSuppression()

virtual bool cv::AgastFeatureDetector::getNonmaxSuppression ( ) const

纯虚函数

Python
	cv.AgastFeatureDetector.getNonmaxSuppression(		) ->	retval

getThreshold()

virtual int cv::AgastFeatureDetector::getThreshold ( ) const

纯虚函数

Python
	cv.AgastFeatureDetector.getThreshold(		) ->	retval

getType()

virtual AgastFeatureDetector::DetectorType cv::AgastFeatureDetector::getType ( ) const

纯虚函数

Python
	cv.AgastFeatureDetector.getType(		) ->	retval

setNonmaxSuppression()

virtual void cv::AgastFeatureDetector::setNonmaxSuppression ( bool f )

纯虚函数

Python
	cv.AgastFeatureDetector.setNonmaxSuppression(	f	) ->	None

setThreshold()

virtual void cv::AgastFeatureDetector::setThreshold ( int threshold )

纯虚函数

Python
	cv.AgastFeatureDetector.setThreshold(	threshold	) ->	None

setType()

virtual void cv::AgastFeatureDetector::setType ( AgastFeatureDetector::DetectorType type )

纯虚函数

Python
	cv.AgastFeatureDetector.setType(	type	) ->	None

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此类的文档是从以下文件生成的

• opencv2/features2d.hpp