OpenCV  4.9.0-dev
Open Source Computer Vision
Public Member Functions | Static Public Member Functions | List of all members
cv::xfeatures2d::TBMR Class Referenceabstract

Class implementing the Tree Based Morse Regions (TBMR) as described in [302] extended with scaled extraction ability. More...

#include <opencv2/xfeatures2d.hpp>

Inheritance diagram for cv::xfeatures2d::TBMR:
cv::xfeatures2d::AffineFeature2D cv::Feature2D cv::Algorithm

Public Member Functions

virtual float getMaxAreaRelative () const =0
 
virtual int getMinArea () const =0
 
virtual int getNScales () const =0
 
virtual float getScaleFactor () const =0
 
virtual void setMaxAreaRelative (float maxArea)=0
 
virtual void setMinArea (int minArea)=0
 
virtual void setNScales (int n_scales)=0
 
virtual void setScaleFactor (float scale_factor)=0
 
- Public Member Functions inherited from cv::xfeatures2d::AffineFeature2D
virtual void detect (InputArray image, std::vector< Elliptic_KeyPoint > &keypoints, InputArray mask=noArray())=0
 Detects keypoints in the image using the wrapped detector and performs affine adaptation to augment them with their elliptic regions. More...
 
virtual void detectAndCompute (InputArray image, InputArray mask, std::vector< Elliptic_KeyPoint > &keypoints, OutputArray descriptors, bool useProvidedKeypoints=false)=0
 Detects keypoints and computes descriptors for their surrounding regions, after warping them into circles. More...
 
- Public Member Functions inherited from cv::Feature2D
virtual ~Feature2D ()
 
virtual void compute (InputArray image, std::vector< KeyPoint > &keypoints, OutputArray descriptors)
 Computes the descriptors for a set of keypoints detected in an image (first variant) or image set (second variant). More...
 
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())
 Detects keypoints in an image (first variant) or image set (second variant). More...
 
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
 Return true if detector object is empty. More...
 
virtual String getDefaultName () const CV_OVERRIDE
 
void read (const String &fileName)
 
virtual void read (const FileNode &) CV_OVERRIDE
 Reads algorithm parameters from a file storage. More...
 
void write (const String &fileName) const
 
virtual void write (FileStorage &) const CV_OVERRIDE
 Stores algorithm parameters in a file storage. More...
 
void write (FileStorage &fs, const String &name) const
 
void write (const Ptr< FileStorage > &fs, const String &name) const
 
- Public Member Functions inherited from cv::Algorithm
 Algorithm ()
 
virtual ~Algorithm ()
 
virtual void clear ()
 Clears the algorithm state. More...
 
virtual void save (const String &filename) const
 
void write (FileStorage &fs, const String &name) const
 
void write (const Ptr< FileStorage > &fs, const String &name=String()) const
 

Static Public Member Functions

static Ptr< TBMRcreate (int min_area=60, float max_area_relative=0.01f, float scale_factor=1.25f, int n_scales=-1)
 
- Static Public Member Functions inherited from cv::xfeatures2d::AffineFeature2D
static Ptr< AffineFeature2Dcreate (Ptr< FeatureDetector > keypoint_detector, Ptr< DescriptorExtractor > descriptor_extractor)
 Creates an instance wrapping the given keypoint detector and descriptor extractor. More...
 
static Ptr< AffineFeature2Dcreate (Ptr< FeatureDetector > keypoint_detector)
 Creates an instance where keypoint detector and descriptor extractor are identical. More...
 
- Static Public Member Functions inherited from cv::Algorithm
template<typename _Tp >
static Ptr< _Tp > load (const String &filename, const String &objname=String())
 Loads algorithm from the file. More...
 
template<typename _Tp >
static Ptr< _Tp > loadFromString (const String &strModel, const String &objname=String())
 Loads algorithm from a String. More...
 
template<typename _Tp >
static Ptr< _Tp > read (const FileNode &fn)
 Reads algorithm from the file node. More...
 

Additional Inherited Members

- Protected Member Functions inherited from cv::Algorithm
void writeFormat (FileStorage &fs) const
 

Detailed Description

Class implementing the Tree Based Morse Regions (TBMR) as described in [302] extended with scaled extraction ability.

Parameters
min_areaprune areas smaller than minArea
max_area_relativeprune areas bigger than maxArea = max_area_relative * input_image_size
scale_factorscale factor for scaled extraction.
n_scalesnumber of applications of the scale factor (octaves).
Note
This algorithm is based on Component Tree (Min/Max) as well as MSER but uses a Morse-theory approach to extract features.

Features are ellipses (similar to MSER, however a MSER feature can never be a TBMR feature and vice versa).

Member Function Documentation

◆ create()

static Ptr<TBMR> cv::xfeatures2d::TBMR::create ( int  min_area = 60,
float  max_area_relative = 0.01f,
float  scale_factor = 1.25f,
int  n_scales = -1 
)
static
Python:
cv.xfeatures2d.TBMR.create([, min_area[, max_area_relative[, scale_factor[, n_scales]]]]) -> retval
cv.xfeatures2d.TBMR_create([, min_area[, max_area_relative[, scale_factor[, n_scales]]]]) -> retval

◆ getMaxAreaRelative()

virtual float cv::xfeatures2d::TBMR::getMaxAreaRelative ( ) const
pure virtual
Python:
cv.xfeatures2d.TBMR.getMaxAreaRelative() -> retval

◆ getMinArea()

virtual int cv::xfeatures2d::TBMR::getMinArea ( ) const
pure virtual
Python:
cv.xfeatures2d.TBMR.getMinArea() -> retval

◆ getNScales()

virtual int cv::xfeatures2d::TBMR::getNScales ( ) const
pure virtual
Python:
cv.xfeatures2d.TBMR.getNScales() -> retval

◆ getScaleFactor()

virtual float cv::xfeatures2d::TBMR::getScaleFactor ( ) const
pure virtual
Python:
cv.xfeatures2d.TBMR.getScaleFactor() -> retval

◆ setMaxAreaRelative()

virtual void cv::xfeatures2d::TBMR::setMaxAreaRelative ( float  maxArea)
pure virtual
Python:
cv.xfeatures2d.TBMR.setMaxAreaRelative(maxArea) -> None

◆ setMinArea()

virtual void cv::xfeatures2d::TBMR::setMinArea ( int  minArea)
pure virtual
Python:
cv.xfeatures2d.TBMR.setMinArea(minArea) -> None

◆ setNScales()

virtual void cv::xfeatures2d::TBMR::setNScales ( int  n_scales)
pure virtual
Python:
cv.xfeatures2d.TBMR.setNScales(n_scales) -> None

◆ setScaleFactor()

virtual void cv::xfeatures2d::TBMR::setScaleFactor ( float  scale_factor)
pure virtual
Python:
cv.xfeatures2d.TBMR.setScaleFactor(scale_factor) -> None

The documentation for this class was generated from the following file: