Class cv::GeneralizedHoughBallard#

finds arbitrary template in the grayscale image using Generalized Hough Transform View details

#include <opencv2/imgproc.hpp>

Public Member Functions#

Public Member Functions inherited from cv::GeneralizedHough

Return	Name	Description
`void`	`detect(` `InputArray edges,` `InputArray dx,` `InputArray dy,` `OutputArray positions,` `OutputArray votes = noArray() )`
`void`	`detect(` `InputArray image,` `OutputArray positions,` `OutputArray votes = noArray() )`	find template on image
`int`	`getCannyHighThresh()`
`int`	`getCannyLowThresh()`
`double`	`getDp()`
`int`	`getMaxBufferSize()`
`double`	`getMinDist()`
`void`	`setCannyHighThresh(int cannyHighThresh)`	Canny high threshold.
`void`	`setCannyLowThresh(int cannyLowThresh)`	Canny low threshold.
`void`	`setDp(double dp)`	Inverse ratio of the accumulator resolution to the image resolution.
`void`	`setMaxBufferSize(int maxBufferSize)`	Maximal size of inner buffers.
`void`	`setMinDist(double minDist)`	Minimum distance between the centers of the detected objects.
`void`	`setTemplate(` `InputArray edges,` `InputArray dx,` `InputArray dy,` `Point templCenter = Point(-1, -1) )`
`void`	`setTemplate(` `InputArray templ,` `Point templCenter = Point(-1, -1) )`	set template to search

Public Member Functions inherited from cv::Algorithm

Return	Name	Description
	`Algorithm()`
	`~Algorithm()`
`void`	`clear()`	Clears the algorithm state.
`bool`	`empty()`	Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read.
`String`	`getDefaultName()`
`void`	`read(const FileNode & fn)`	Reads algorithm parameters from a file storage.
`void`	`save(const String & filename)`
`void`	`write(` `const Ptr< FileStorage > & fs,` `const String & name = String() )`
`void`	`write(FileStorage & fs)`	Stores algorithm parameters in a file storage.
`void`	`write(` `FileStorage & fs,` `const String & name )`

Static Public Member Functions inherited from cv::Algorithm

Return	Name	Description
`static Ptr< _Tp >`	`load(` `const String & filename,` `const String & objname = String() )`	Loads algorithm from the file.
`static Ptr< _Tp >`	`loadFromString(` `const String & strModel,` `const String & objname = String() )`	Loads algorithm from a String.
`static Ptr< _Tp >`	`read(const FileNode & fn)`	Reads algorithm from the file node.

finds arbitrary template in the grayscale image using Generalized Hough Transform

Detects position only without translation and rotation Ballard1981 .

Python:

cv.GeneralizedHoughBallard.getLevels() -> retval

Python:

cv.GeneralizedHoughBallard.getVotesThreshold() -> retval

void cv::GeneralizedHoughBallard::setLevels(int levels)

Python:

cv.GeneralizedHoughBallard.setLevels(levels)

R-Table levels.

void cv::GeneralizedHoughBallard::setVotesThreshold(int votesThreshold)

Python:

cv.GeneralizedHoughBallard.setVotesThreshold(votesThreshold)

The accumulator threshold for the template centers at the detection stage. The smaller it is, the more false positions may be detected.

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