cv::ximgproc::RidgeDetectionFilter Class Reference

Applies Ridge Detection Filter to an input image. Implements Ridge detection similar to the one in Mathematica using the eigen values from the Hessian Matrix of the input image using Sobel Derivatives. Additional refinement can be done using Skeletonization and Binarization. Adapted from [79] and [187]. More...

#include <opencv2/ximgproc/ridgefilter.hpp>

Collaboration diagram for cv::ximgproc::RidgeDetectionFilter:

Public Member Functions
virtual void	getRidgeFilteredImage (InputArray _img, OutputArray out)=0
	Apply Ridge detection filter on input image.
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
virtual void	write (FileStorage &fs) const
	Stores algorithm parameters in a file storage.
void	write (FileStorage &fs, const String &name) const

Static Public Member Functions
static Ptr< RidgeDetectionFilter >	create (int ddepth=CV_32FC1, int dx=1, int dy=1, int ksize=3, int out_dtype=CV_8UC1, double scale=1, double delta=0, int borderType=BORDER_DEFAULT)
	Create pointer to the Ridge detection filter.
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.

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

Detailed Description

Applies Ridge Detection Filter to an input image. Implements Ridge detection similar to the one in Mathematica using the eigen values from the Hessian Matrix of the input image using Sobel Derivatives. Additional refinement can be done using Skeletonization and Binarization. Adapted from [79] and [187].

Member Function Documentation

create()

static Ptr< RidgeDetectionFilter > cv::ximgproc::RidgeDetectionFilter::create ( int ddepth = CV_32FC1, int dx = 1, int dy = 1, int ksize = 3, int out_dtype = CV_8UC1, double scale = 1, double delta = 0, int borderType = BORDER_DEFAULT )

static

Python:
	cv.ximgproc.RidgeDetectionFilter.create(	[, ddepth[, dx[, dy[, ksize[, out_dtype[, scale[, delta[, borderType]]]]]]]]	) ->	retval
	cv.ximgproc.RidgeDetectionFilter_create(	[, ddepth[, dx[, dy[, ksize[, out_dtype[, scale[, delta[, borderType]]]]]]]]	) ->	retval

Create pointer to the Ridge detection filter.

Parameters

ddepth	Specifies output image depth. Defualt is CV_32FC1
dx	Order of derivative x, default is 1
dy	Order of derivative y, default is 1
ksize	Sobel kernel size , default is 3
out_dtype	Converted format for output, default is CV_8UC1
scale	Optional scale value for derivative values, default is 1
delta	Optional bias added to output, default is 0
borderType	Pixel extrapolation method, default is BORDER_DEFAULT

See also

Sobel, threshold, getStructuringElement, morphologyEx.( for additional refinement)

getRidgeFilteredImage()

virtual void cv::ximgproc::RidgeDetectionFilter::getRidgeFilteredImage ( InputArray _img, OutputArray out )

pure virtual

Python:
	cv.ximgproc.RidgeDetectionFilter.getRidgeFilteredImage(	_img[, out]	) ->	out

Apply Ridge detection filter on input image.

Parameters

_img	InputArray as supported by Sobel. img can be 1-Channel or 3-Channels.
out	OutputAray of structure as RidgeDetectionFilter::ddepth. Output image with ridges.

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

• opencv2/ximgproc/ridgefilter.hpp