OpenCV  4.1.1-pre
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cv::GeneralizedHough Class Referenceabstract

finds arbitrary template in the grayscale image using Generalized Hough Transform More...

#include <opencv2/imgproc.hpp>

Inheritance diagram for cv::GeneralizedHough:
Collaboration diagram for cv::GeneralizedHough:

Public Member Functions

virtual void clear ()
 Clears the algorithm state. More...
 
virtual void detect (InputArray image, OutputArray positions, OutputArray votes=noArray())=0
 find template on image More...
 
virtual void detect (InputArray edges, InputArray dx, InputArray dy, OutputArray positions, OutputArray votes=noArray())=0
 
virtual bool empty () const
 Returns true if the Algorithm is empty (e.g. More...
 
virtual int getCannyHighThresh () const =0
 
virtual int getCannyLowThresh () const =0
 
virtual String getDefaultName () const
 Returns the algorithm string identifier. More...
 
virtual double getDp () const =0
 
virtual int getMaxBufferSize () const =0
 
virtual double getMinDist () const =0
 
virtual void read (const FileNode &fn)
 Reads algorithm parameters from a file storage. More...
 
virtual void save (const String &filename) const
 Saves the algorithm to a file. More...
 
virtual void setCannyHighThresh (int cannyHighThresh)=0
 Canny high threshold. More...
 
virtual void setCannyLowThresh (int cannyLowThresh)=0
 Canny low threshold. More...
 
virtual void setDp (double dp)=0
 Inverse ratio of the accumulator resolution to the image resolution. More...
 
virtual void setMaxBufferSize (int maxBufferSize)=0
 Maximal size of inner buffers. More...
 
virtual void setMinDist (double minDist)=0
 Minimum distance between the centers of the detected objects. More...
 
virtual void setTemplate (InputArray templ, Point templCenter=Point(-1, -1))=0
 set template to search More...
 
virtual void setTemplate (InputArray edges, InputArray dx, InputArray dy, Point templCenter=Point(-1, -1))=0
 
virtual void write (FileStorage &fs) const
 Stores algorithm parameters in a file storage. More...
 
void write (const Ptr< FileStorage > &fs, const String &name=String()) const
 simplified API for language bindings This is an overloaded member function, provided for convenience. It differs from the above function only in what argument(s) it accepts. More...
 

Static Public Member Functions

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...
 

Protected Member Functions

void writeFormat (FileStorage &fs) const
 

Detailed Description

finds arbitrary template in the grayscale image using Generalized Hough Transform

Member Function Documentation

◆ clear()

virtual void cv::Algorithm::clear ( )
inlinevirtualinherited

Clears the algorithm state.

Reimplemented in cv::FlannBasedMatcher, and cv::DescriptorMatcher.

◆ detect() [1/2]

virtual void cv::GeneralizedHough::detect ( InputArray  image,
OutputArray  positions,
OutputArray  votes = noArray() 
)
pure virtual

find template on image

◆ detect() [2/2]

virtual void cv::GeneralizedHough::detect ( InputArray  edges,
InputArray  dx,
InputArray  dy,
OutputArray  positions,
OutputArray  votes = noArray() 
)
pure virtual

◆ empty()

virtual bool cv::Algorithm::empty ( ) const
inlinevirtualinherited

Returns true if the Algorithm is empty (e.g.

in the very beginning or after unsuccessful read

Reimplemented in cv::DescriptorMatcher, cv::ml::StatModel, cv::Feature2D, and cv::BaseCascadeClassifier.

◆ getCannyHighThresh()

virtual int cv::GeneralizedHough::getCannyHighThresh ( ) const
pure virtual

◆ getCannyLowThresh()

virtual int cv::GeneralizedHough::getCannyLowThresh ( ) const
pure virtual

◆ getDefaultName()

virtual String cv::Algorithm::getDefaultName ( ) const
virtualinherited

Returns the algorithm string identifier.

This string is used as top level xml/yml node tag when the object is saved to a file or string.

Reimplemented in cv::AKAZE, cv::KAZE, cv::SimpleBlobDetector, cv::GFTTDetector, cv::AgastFeatureDetector, cv::FastFeatureDetector, cv::MSER, cv::ORB, cv::BRISK, and cv::Feature2D.

◆ getDp()

virtual double cv::GeneralizedHough::getDp ( ) const
pure virtual

◆ getMaxBufferSize()

virtual int cv::GeneralizedHough::getMaxBufferSize ( ) const
pure virtual

◆ getMinDist()

virtual double cv::GeneralizedHough::getMinDist ( ) const
pure virtual

◆ load()

template<typename _Tp >
static Ptr<_Tp> cv::Algorithm::load ( const String filename,
const String objname = String() 
)
inlinestaticinherited

Loads algorithm from the file.

Parameters
filenameName of the file to read.
objnameThe optional name of the node to read (if empty, the first top-level node will be used)

This is static template method of Algorithm. It's usage is following (in the case of SVM):

Ptr<SVM> svm = Algorithm::load<SVM>("my_svm_model.xml");

In order to make this method work, the derived class must overwrite Algorithm::read(const FileNode& fn).

References CV_Assert, cv::FileNode::empty(), cv::FileStorage::getFirstTopLevelNode(), cv::FileStorage::isOpened(), and cv::FileStorage::READ.

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◆ loadFromString()

template<typename _Tp >
static Ptr<_Tp> cv::Algorithm::loadFromString ( const String strModel,
const String objname = String() 
)
inlinestaticinherited

Loads algorithm from a String.

Parameters
strModelThe string variable containing the model you want to load.
objnameThe optional name of the node to read (if empty, the first top-level node will be used)

This is static template method of Algorithm. It's usage is following (in the case of SVM):

Ptr<SVM> svm = Algorithm::loadFromString<SVM>(myStringModel);

References CV_WRAP, cv::FileNode::empty(), cv::FileStorage::getFirstTopLevelNode(), cv::FileStorage::MEMORY, and cv::FileStorage::READ.

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◆ read() [1/2]

virtual void cv::Algorithm::read ( const FileNode fn)
inlinevirtualinherited

Reads algorithm parameters from a file storage.

Reimplemented in cv::FlannBasedMatcher, cv::DescriptorMatcher, and cv::Feature2D.

◆ read() [2/2]

template<typename _Tp >
static Ptr<_Tp> cv::Algorithm::read ( const FileNode fn)
inlinestaticinherited

Reads algorithm from the file node.

This is static template method of Algorithm. It's usage is following (in the case of SVM):

cv::FileStorage fsRead("example.xml", FileStorage::READ);
Ptr<SVM> svm = Algorithm::read<SVM>(fsRead.root());

In order to make this method work, the derived class must overwrite Algorithm::read(const FileNode& fn) and also have static create() method without parameters (or with all the optional parameters)

◆ save()

virtual void cv::Algorithm::save ( const String filename) const
virtualinherited

Saves the algorithm to a file.

In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

◆ setCannyHighThresh()

virtual void cv::GeneralizedHough::setCannyHighThresh ( int  cannyHighThresh)
pure virtual

Canny high threshold.

◆ setCannyLowThresh()

virtual void cv::GeneralizedHough::setCannyLowThresh ( int  cannyLowThresh)
pure virtual

Canny low threshold.

◆ setDp()

virtual void cv::GeneralizedHough::setDp ( double  dp)
pure virtual

Inverse ratio of the accumulator resolution to the image resolution.

◆ setMaxBufferSize()

virtual void cv::GeneralizedHough::setMaxBufferSize ( int  maxBufferSize)
pure virtual

Maximal size of inner buffers.

◆ setMinDist()

virtual void cv::GeneralizedHough::setMinDist ( double  minDist)
pure virtual

Minimum distance between the centers of the detected objects.

◆ setTemplate() [1/2]

virtual void cv::GeneralizedHough::setTemplate ( InputArray  templ,
Point  templCenter = Point(-1, -1) 
)
pure virtual

set template to search

◆ setTemplate() [2/2]

virtual void cv::GeneralizedHough::setTemplate ( InputArray  edges,
InputArray  dx,
InputArray  dy,
Point  templCenter = Point(-1, -1) 
)
pure virtual

◆ write() [1/2]

virtual void cv::Algorithm::write ( FileStorage fs) const
inlinevirtualinherited

Stores algorithm parameters in a file storage.

Reimplemented in cv::FlannBasedMatcher, cv::DescriptorMatcher, and cv::Feature2D.

References CV_WRAP.

Referenced by cv::Feature2D::write(), and cv::DescriptorMatcher::write().

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◆ write() [2/2]

void cv::Algorithm::write ( const Ptr< FileStorage > &  fs,
const String name = String() 
) const
inherited

simplified API for language bindings This is an overloaded member function, provided for convenience. It differs from the above function only in what argument(s) it accepts.

◆ writeFormat()

void cv::Algorithm::writeFormat ( FileStorage fs) const
protectedinherited

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