OpenCV  3.4.11
Open Source Computer Vision
Public Member Functions | List of all members
cv::cuda::HoughSegmentDetector Class Referenceabstract

Base class for line segments detector algorithm. : More...

#include <opencv2/cudaimgproc.hpp>

Inheritance diagram for cv::cuda::HoughSegmentDetector:
cv::Algorithm

Public Member Functions

virtual void detect (InputArray src, OutputArray lines, Stream &stream=Stream::Null())=0
 Finds line segments in a binary image using the probabilistic Hough transform. More...
 
virtual int getMaxLineGap () const =0
 
virtual int getMaxLines () const =0
 
virtual int getMinLineLength () const =0
 
virtual float getRho () const =0
 
virtual float getTheta () const =0
 
virtual void setMaxLineGap (int maxLineGap)=0
 
virtual void setMaxLines (int maxLines)=0
 
virtual void setMinLineLength (int minLineLength)=0
 
virtual void setRho (float rho)=0
 
virtual void setTheta (float theta)=0
 
- Public Member Functions inherited from cv::Algorithm
 Algorithm ()
 
virtual ~Algorithm ()
 
virtual void clear ()
 Clears the algorithm state. More...
 
virtual bool empty () const
 Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read. More...
 
virtual String getDefaultName () const
 
virtual void read (const FileNode &fn)
 Reads algorithm parameters from a file storage. More...
 
virtual void save (const String &filename) const
 
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...
 

Additional Inherited Members

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

Detailed Description

Base class for line segments detector algorithm. :

Member Function Documentation

◆ detect()

virtual void cv::cuda::HoughSegmentDetector::detect ( InputArray  src,
OutputArray  lines,
Stream stream = Stream::Null() 
)
pure virtual

Finds line segments in a binary image using the probabilistic Hough transform.

Parameters
src8-bit, single-channel binary source image.
linesOutput vector of lines. Each line is represented by a 4-element vector \((x_1, y_1, x_2, y_2)\) , where \((x_1,y_1)\) and \((x_2, y_2)\) are the ending points of each detected line segment.
streamStream for the asynchronous version.
See also
HoughLinesP

◆ getMaxLineGap()

virtual int cv::cuda::HoughSegmentDetector::getMaxLineGap ( ) const
pure virtual

◆ getMaxLines()

virtual int cv::cuda::HoughSegmentDetector::getMaxLines ( ) const
pure virtual

◆ getMinLineLength()

virtual int cv::cuda::HoughSegmentDetector::getMinLineLength ( ) const
pure virtual

◆ getRho()

virtual float cv::cuda::HoughSegmentDetector::getRho ( ) const
pure virtual

◆ getTheta()

virtual float cv::cuda::HoughSegmentDetector::getTheta ( ) const
pure virtual

◆ setMaxLineGap()

virtual void cv::cuda::HoughSegmentDetector::setMaxLineGap ( int  maxLineGap)
pure virtual

◆ setMaxLines()

virtual void cv::cuda::HoughSegmentDetector::setMaxLines ( int  maxLines)
pure virtual

◆ setMinLineLength()

virtual void cv::cuda::HoughSegmentDetector::setMinLineLength ( int  minLineLength)
pure virtual

◆ setRho()

virtual void cv::cuda::HoughSegmentDetector::setRho ( float  rho)
pure virtual

◆ setTheta()

virtual void cv::cuda::HoughSegmentDetector::setTheta ( float  theta)
pure virtual

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