Class cv::GeneralizedHoughGuil#

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

#include <opencv2/imgproc.hpp>

Collaboration diagram for cv::GeneralizedHoughGuil:

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#

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.

Additional Inherited Members#

Detailed Description#

finds arbitrary template in the grayscale image using Generalized Hough Transform

Detects position, translation and rotation Guil1999 .

Member Function Documentation#

getAngleEpsilon()#

double cv::GeneralizedHoughGuil::getAngleEpsilon()

Python:

cv.GeneralizedHoughGuil.getAngleEpsilon() -> retval

getAngleStep()#

double cv::GeneralizedHoughGuil::getAngleStep()

Python:

cv.GeneralizedHoughGuil.getAngleStep() -> retval

getAngleThresh()#

int cv::GeneralizedHoughGuil::getAngleThresh()

Python:

cv.GeneralizedHoughGuil.getAngleThresh() -> retval

getLevels()#

int cv::GeneralizedHoughGuil::getLevels()

Python:

cv.GeneralizedHoughGuil.getLevels() -> retval

getMaxAngle()#

double cv::GeneralizedHoughGuil::getMaxAngle()

Python:

cv.GeneralizedHoughGuil.getMaxAngle() -> retval

getMaxScale()#

double cv::GeneralizedHoughGuil::getMaxScale()

Python:

cv.GeneralizedHoughGuil.getMaxScale() -> retval

getMinAngle()#

double cv::GeneralizedHoughGuil::getMinAngle()

Python:

cv.GeneralizedHoughGuil.getMinAngle() -> retval

getMinScale()#

double cv::GeneralizedHoughGuil::getMinScale()

Python:

cv.GeneralizedHoughGuil.getMinScale() -> retval

getPosThresh()#

int cv::GeneralizedHoughGuil::getPosThresh()

Python:

cv.GeneralizedHoughGuil.getPosThresh() -> retval

getScaleStep()#

double cv::GeneralizedHoughGuil::getScaleStep()

Python:

cv.GeneralizedHoughGuil.getScaleStep() -> retval

getScaleThresh()#

int cv::GeneralizedHoughGuil::getScaleThresh()

Python:

cv.GeneralizedHoughGuil.getScaleThresh() -> retval

getXi()#

double cv::GeneralizedHoughGuil::getXi()

Python:

cv.GeneralizedHoughGuil.getXi() -> retval

setAngleEpsilon()#

void cv::GeneralizedHoughGuil::setAngleEpsilon(double angleEpsilon)

Python:

cv.GeneralizedHoughGuil.setAngleEpsilon(angleEpsilon)

Maximal difference between angles that treated as equal.

setAngleStep()#

void cv::GeneralizedHoughGuil::setAngleStep(double angleStep)

Python:

cv.GeneralizedHoughGuil.setAngleStep(angleStep)

Angle step in degrees.

setAngleThresh()#

void cv::GeneralizedHoughGuil::setAngleThresh(int angleThresh)

Python:

cv.GeneralizedHoughGuil.setAngleThresh(angleThresh)

Angle votes threshold.

setLevels()#

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

Python:

cv.GeneralizedHoughGuil.setLevels(levels)

Feature table levels.

setMaxAngle()#

void cv::GeneralizedHoughGuil::setMaxAngle(double maxAngle)

Python:

cv.GeneralizedHoughGuil.setMaxAngle(maxAngle)

Maximal rotation angle to detect in degrees.

setMaxScale()#

void cv::GeneralizedHoughGuil::setMaxScale(double maxScale)

Python:

cv.GeneralizedHoughGuil.setMaxScale(maxScale)

Maximal scale to detect.

setMinAngle()#

void cv::GeneralizedHoughGuil::setMinAngle(double minAngle)

Python:

cv.GeneralizedHoughGuil.setMinAngle(minAngle)

Minimal rotation angle to detect in degrees.

setMinScale()#

void cv::GeneralizedHoughGuil::setMinScale(double minScale)

Python:

cv.GeneralizedHoughGuil.setMinScale(minScale)

Minimal scale to detect.

setPosThresh()#

void cv::GeneralizedHoughGuil::setPosThresh(int posThresh)

Python:

cv.GeneralizedHoughGuil.setPosThresh(posThresh)

Position votes threshold.

setScaleStep()#

void cv::GeneralizedHoughGuil::setScaleStep(double scaleStep)

Python:

cv.GeneralizedHoughGuil.setScaleStep(scaleStep)

Scale step.

setScaleThresh()#

void cv::GeneralizedHoughGuil::setScaleThresh(int scaleThresh)

Python:

cv.GeneralizedHoughGuil.setScaleThresh(scaleThresh)

Scale votes threshold.

setXi()#

void cv::GeneralizedHoughGuil::setXi(double xi)

Python:

cv.GeneralizedHoughGuil.setXi(xi)

Angle difference in degrees between two points in feature.

Source file#

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

opencv2/imgproc.hpp