C# Class OpenCvSharp.LineSegmentDetector

Line segment detector class

Inheritance: Algorithm

ファイルを表示 Open project: shimat/opencvsharp

Public Methods

Method	Description
CompareSegments ( Size size, InputArray lines1, InputArray lines2, OpenCvSharp.InputOutputArray image = null ) : int	Draws two groups of lines in blue and red, counting the non overlapping (mismatching) pixels.
Create ( LineSegmentDetectorModes refine = LineSegmentDetectorModes.RefineNone, double scale = 0.8, double sigmaScale = 0.6, double quant = 2.0, double angTh = 22.5, double logEps, double densityTh = 0.7, int nBins = 1024 ) : LineSegmentDetector	Creates a smart pointer to a LineSegmentDetector object and initializes it.
Detect ( InputArray image, OutputArray lines, OutputArray width = null, OutputArray prec = null, OutputArray nfa = null ) : void	Finds lines in the input image. This is the output of the default parameters of the algorithm on the above shown image.
Detect ( InputArray image, Vec4f &lines, double &width, double &prec, double &nfa ) : void	Finds lines in the input image. This is the output of the default parameters of the algorithm on the above shown image.
DrawSegments ( OpenCvSharp.InputOutputArray image, InputArray lines ) : void	Draws the line segments on a given image.

Method	Description
Dispose ( bool disposing ) : void	Releases the resources
LineSegmentDetector ( IntPtr p ) : System

Draws two groups of lines in blue and red, counting the non overlapping (mismatching) pixels.

public CompareSegments ( Size size, InputArray lines1, InputArray lines2, OpenCvSharp.InputOutputArray image = null ) : int
size	Size	The size of the image, where lines1 and lines2 were found.
lines1	InputArray	The first group of lines that needs to be drawn. It is visualized in blue color.
lines2	InputArray	The second group of lines. They visualized in red color.
image	OpenCvSharp.InputOutputArray	Optional image, where the lines will be drawn. /// The image should be color(3-channel) in order for lines1 and lines2 to be drawn /// in the above mentioned colors.
return	int

Creates a smart pointer to a LineSegmentDetector object and initializes it.

public static Create ( LineSegmentDetectorModes refine = LineSegmentDetectorModes.RefineNone, double scale = 0.8, double sigmaScale = 0.6, double quant = 2.0, double angTh = 22.5, double logEps, double densityTh = 0.7, int nBins = 1024 ) : LineSegmentDetector
refine	LineSegmentDetectorModes	The way found lines will be refined, see cv::LineSegmentDetectorModes
scale	double	The scale of the image that will be used to find the lines. Range (0..1].
sigmaScale	double	Sigma for Gaussian filter. It is computed as sigma = _sigma_scale/_scale.
quant	double	Bound to the quantization error on the gradient norm.
angTh	double	Gradient angle tolerance in degrees.
logEps	double	Detection threshold: -log10(NFA) \> log_eps. /// Used only when advancent refinement is chosen.
densityTh	double	Minimal density of aligned region points in the enclosing rectangle.
nBins	int	Number of bins in pseudo-ordering of gradient modulus.
return	LineSegmentDetector

Finds lines in the input image. This is the output of the default parameters of the algorithm on the above shown image.

public Detect ( InputArray image, OutputArray lines, OutputArray width = null, OutputArray prec = null, OutputArray nfa = null ) : void
image	InputArray	A grayscale (CV_8UC1) input image.
lines	OutputArray	A vector of Vec4i or Vec4f elements specifying the beginning and ending point of a line. /// Where Vec4i/Vec4f is (x1, y1, x2, y2), point 1 is the start, point 2 - end. Returned lines are strictly oriented depending on the gradient.
width	OutputArray	Vector of widths of the regions, where the lines are found. E.g. Width of line.
prec	OutputArray	Vector of precisions with which the lines are found.
nfa	OutputArray	Vector containing number of false alarms in the line region, /// with precision of 10%. The bigger the value, logarithmically better the detection.
return	void

Finds lines in the input image. This is the output of the default parameters of the algorithm on the above shown image.

public Detect ( InputArray image, Vec4f &lines, double &width, double &prec, double &nfa ) : void
image	InputArray	A grayscale (CV_8UC1) input image.
lines	Vec4f	A vector of Vec4i or Vec4f elements specifying the beginning and ending point of a line. /// Where Vec4i/Vec4f is (x1, y1, x2, y2), point 1 is the start, point 2 - end. Returned lines are strictly oriented depending on the gradient.
width	double	Vector of widths of the regions, where the lines are found. E.g. Width of line.
prec	double	Vector of precisions with which the lines are found.
nfa	double	Vector containing number of false alarms in the line region, /// with precision of 10%. The bigger the value, logarithmically better the detection.
return	void

Releases the resources

protected Dispose ( bool disposing ) : void
disposing	bool	/// If disposing equals true, the method has been called directly or indirectly by a user's code. Managed and unmanaged resources can be disposed. /// If false, the method has been called by the runtime from inside the finalizer and you should not reference other objects. Only unmanaged resources can be disposed. ///
return	void

Draws the line segments on a given image.

public DrawSegments ( OpenCvSharp.InputOutputArray image, InputArray lines ) : void
image	OpenCvSharp.InputOutputArray	The image, where the liens will be drawn. /// Should be bigger or equal to the image, where the lines were found.
lines	InputArray	A vector of the lines that needed to be drawn.
return	void

protected LineSegmentDetector ( IntPtr p ) : System
p	System.IntPtr
return	System