Class implementing edge detection algorithm from [70] : More...

#include <opencv2/ximgproc/structured_edge_detection.hpp>

Collaboration diagram for cv::ximgproc::StructuredEdgeDetection:

Public Member Functions
virtual void	computeOrientation (cv::InputArray src, cv::OutputArray dst) const =0
	The function computes orientation from edge image.

virtual void	detectEdges (cv::InputArray src, cv::OutputArray dst) const =0
	The function detects edges in src and draw them to dst.

virtual void	edgesNms (cv::InputArray edge_image, cv::InputArray orientation_image, cv::OutputArray dst, int r=2, int s=0, float m=1, bool isParallel=true) const =0
	The function edgenms in edge image and suppress edges where edge is stronger in orthogonal direction.

Public Member Functions inherited from cv::Algorithm
	Algorithm ()

virtual	~Algorithm ()

virtual void	clear ()
	Clears the algorithm state.

virtual bool	empty () const
	Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read.

virtual String	getDefaultName () const

virtual void	read (const FileNode &fn)
	Reads algorithm parameters from a file storage.

virtual void	save (const String &filename) const

void	write (const Ptr< FileStorage > &fs, const String &name=String()) const

virtual void	write (FileStorage &fs) const
	Stores algorithm parameters in a file storage.

void	write (FileStorage &fs, const String &name) const

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.

template<typename _Tp >
static Ptr< _Tp >	loadFromString (const String &strModel, const String &objname=String())
	Loads algorithm from a String.

template<typename _Tp >
static Ptr< _Tp >	read (const FileNode &fn)
	Reads algorithm from the file node.

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

Detailed Description

Class implementing edge detection algorithm from [70] :

Member Function Documentation

virtual void cv::ximgproc::StructuredEdgeDetection::computeOrientation	(	cv::InputArray	src,
		cv::OutputArray	dst
	)		const

pure virtual

Python:
	cv.ximgproc.StructuredEdgeDetection.computeOrientation(	src[, dst]	) ->	dst

The function computes orientation from edge image.

Parameters

src	edge image.
dst	orientation image.

virtual void cv::ximgproc::StructuredEdgeDetection::detectEdges	(	cv::InputArray	src,
		cv::OutputArray	dst
	)		const

pure virtual

Python:
	cv.ximgproc.StructuredEdgeDetection.detectEdges(	src[, dst]	) ->	dst

The function detects edges in src and draw them to dst.

The algorithm underlies this function is much more robust to texture presence, than common approaches, e.g. Sobel

Parameters

src	source image (RGB, float, in [0;1]) to detect edges
dst	destination image (grayscale, float, in [0;1]) where edges are drawn

virtual void cv::ximgproc::StructuredEdgeDetection::edgesNms	(	cv::InputArray	edge_image,
		cv::InputArray	orientation_image,
		cv::OutputArray	dst,
		int	r = `2`,
		int	s = `0`,
		float	m = `1`,
		bool	isParallel = `true`
	)		const

pure virtual

Python:
	cv.ximgproc.StructuredEdgeDetection.edgesNms(	edge_image, orientation_image[, dst[, r[, s[, m[, isParallel]]]]]	) ->	dst

The function edgenms in edge image and suppress edges where edge is stronger in orthogonal direction.

Parameters

edge_image	edge image from detectEdges function.
orientation_image	orientation image from computeOrientation function.
dst	suppressed image (grayscale, float, in [0;1])
r	radius for NMS suppression.
s	radius for boundary suppression.
m	multiplier for conservative suppression.
isParallel	enables/disables parallel computing.

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