Class cv::ximgproc::StructuredEdgeDetection

Class implementing edge detection algorithm from [81] :

#include <opencv2/ximgproc/structured_edge_detection.hpp>

Collaboration diagram for cv::ximgproc::StructuredEdgeDetection:

Public Member Functions

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

Protected Member Functions inherited from cv::Algorithm

Return	Name	Description
void	writeFormat(FileStorage & fs)

Detailed Description

Class implementing edge detection algorithm from [81] :

Member Function Documentation

computeOrientation()

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

The function computes orientation from edge image.

Parameters

• src — edge image.

• dst — orientation image.

detectEdges()

void cv::ximgproc::StructuredEdgeDetection::detectEdges(
cv::InputArray src,
cv::OutputArray 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

See also

Sobel, Canny

Parameters

• src — source image (RGB, float, in [0;1]) to detect edges

• dst — destination image (grayscale, float, in [0;1]) where edges are drawn

edgesNms()

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 )

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.

Source file

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

• opencv2/ximgproc/structured_edge_detection.hpp