Line segment detector class. More...

Inheritance diagram for OpenCVForUnity.ImgprocModule.LineSegmentDetector:

Public Member Functions
void	detect (Mat image, Mat lines, Mat width, Mat prec, Mat nfa)
	Finds lines in the input image. More...

void	detect (Mat image, Mat lines, Mat width, Mat prec)
	Finds lines in the input image. More...

void	detect (Mat image, Mat lines, Mat width)
	Finds lines in the input image. More...

void	detect (Mat image, Mat lines)
	Finds lines in the input image. More...

void	drawSegments (Mat image, Mat lines)
	Draws the line segments on a given image. More...

int	compareSegments (Size size, Mat lines1, Mat lines2, Mat image)
	Draws two groups of lines in blue and red, counting the non overlapping (mismatching) pixels. More...

int	compareSegments (Size size, Mat lines1, Mat lines2)
	Draws two groups of lines in blue and red, counting the non overlapping (mismatching) pixels. More...

Public Member Functions inherited from OpenCVForUnity.CoreModule.Algorithm
IntPtr	getNativeObjAddr ()

virtual void	clear ()
	Clears the algorithm state. More...

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

void	save (string filename)

virtual string	getDefaultName ()

Public Member Functions inherited from OpenCVForUnity.DisposableObject
void	Dispose ()

void	ThrowIfDisposed ()

Static Public Member Functions
static new LineSegmentDetector	__fromPtr__ (IntPtr addr)

Static Public Member Functions inherited from OpenCVForUnity.CoreModule.Algorithm
static Algorithm	__fromPtr__ (IntPtr addr)

Static Public Member Functions inherited from OpenCVForUnity.DisposableObject
static IntPtr	ThrowIfNullIntPtr (IntPtr ptr)

Protected Member Functions
override void	Dispose (bool disposing)

Protected Member Functions inherited from OpenCVForUnity.DisposableOpenCVObject
	DisposableOpenCVObject ()

	DisposableOpenCVObject (IntPtr ptr)

	DisposableOpenCVObject (bool isEnabledDispose)

	DisposableOpenCVObject (IntPtr ptr, bool isEnabledDispose)

Protected Member Functions inherited from OpenCVForUnity.DisposableObject
	DisposableObject ()

	DisposableObject (bool isEnabledDispose)

Additional Inherited Members
Properties inherited from OpenCVForUnity.DisposableObject
bool	IsDisposed `[get, protected set]`

bool	IsEnabledDispose `[get, set]`

Detailed Description

Line segment detector class.

following the algorithm described at [Rafael12] .

Note: Implementation has been removed from OpenCV version 3.4.6 to 3.4.15 and version 4.1.0 to 4.5.3 due original code license conflict. restored again after Computation of a NFA code published under the MIT license.

Member Function Documentation

◆ fromPtr()

static new LineSegmentDetector OpenCVForUnity.ImgprocModule.LineSegmentDetector.__fromPtr__ ( IntPtr addr )

static

◆ compareSegments() [1/2]

int OpenCVForUnity.ImgprocModule.LineSegmentDetector.compareSegments	(	Size	size,
		Mat	lines1,
		Mat	lines2,
		Mat	image
	)

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

Parameters

size	The size of the image, where lines1 and lines2 were found.
lines1	The first group of lines that needs to be drawn. It is visualized in blue color.
lines2	The second group of lines. They visualized in red color.
image	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.

◆ compareSegments() [2/2]

int OpenCVForUnity.ImgprocModule.LineSegmentDetector.compareSegments	(	Size	size,
		Mat	lines1,
		Mat	lines2
	)

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

Parameters

size	The size of the image, where lines1 and lines2 were found.
lines1	The first group of lines that needs to be drawn. It is visualized in blue color.
lines2	The second group of lines. They visualized in red color.
image	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.

◆ detect() [1/4]

void OpenCVForUnity.ImgprocModule.LineSegmentDetector.detect	(	Mat	image,
		Mat	lines,
		Mat	width,
		Mat	prec,
		Mat	nfa
	)

Finds lines in the input image.

This is the output of the default parameters of the algorithm on the above shown image.

image

Parameters

image	A grayscale (CV_8UC1) input image. If only a roi needs to be selected, use: `lsd_ptr->detect(image(roi), lines, ...); lines += Scalar(roi.x, roi.y, roi.x, roi.y);`
lines	A vector of Vec4f elements specifying the beginning and ending point of a line. Where Vec4f is (x1, y1, x2, y2), point 1 is the start, point 2 - end. Returned lines are strictly oriented depending on the gradient.
width	Vector of widths of the regions, where the lines are found. E.g. Width of line.
prec	Vector of precisions with which the lines are found.
nfa	Vector containing number of false alarms in the line region, with precision of 10%. The bigger the value, logarithmically better the detection. -1 corresponds to 10 mean false alarms 0 corresponds to 1 mean false alarm 1 corresponds to 0.1 mean false alarms This vector will be calculated only when the objects type is #LSD_REFINE_ADV.

◆ detect() [2/4]

void OpenCVForUnity.ImgprocModule.LineSegmentDetector.detect	(	Mat	image,
		Mat	lines,
		Mat	width,
		Mat	prec
	)

Finds lines in the input image.

This is the output of the default parameters of the algorithm on the above shown image.

image

Parameters

image	A grayscale (CV_8UC1) input image. If only a roi needs to be selected, use: `lsd_ptr->detect(image(roi), lines, ...); lines += Scalar(roi.x, roi.y, roi.x, roi.y);`
lines	A vector of Vec4f elements specifying the beginning and ending point of a line. Where Vec4f is (x1, y1, x2, y2), point 1 is the start, point 2 - end. Returned lines are strictly oriented depending on the gradient.
width	Vector of widths of the regions, where the lines are found. E.g. Width of line.
prec	Vector of precisions with which the lines are found.
nfa	Vector containing number of false alarms in the line region, with precision of 10%. The bigger the value, logarithmically better the detection. -1 corresponds to 10 mean false alarms 0 corresponds to 1 mean false alarm 1 corresponds to 0.1 mean false alarms This vector will be calculated only when the objects type is #LSD_REFINE_ADV.

◆ detect() [3/4]

void OpenCVForUnity.ImgprocModule.LineSegmentDetector.detect	(	Mat	image,
		Mat	lines,
		Mat	width
	)

Finds lines in the input image.

This is the output of the default parameters of the algorithm on the above shown image.

image

Parameters

image	A grayscale (CV_8UC1) input image. If only a roi needs to be selected, use: `lsd_ptr->detect(image(roi), lines, ...); lines += Scalar(roi.x, roi.y, roi.x, roi.y);`
lines	A vector of Vec4f elements specifying the beginning and ending point of a line. Where Vec4f is (x1, y1, x2, y2), point 1 is the start, point 2 - end. Returned lines are strictly oriented depending on the gradient.
width	Vector of widths of the regions, where the lines are found. E.g. Width of line.
prec	Vector of precisions with which the lines are found.
nfa	Vector containing number of false alarms in the line region, with precision of 10%. The bigger the value, logarithmically better the detection. -1 corresponds to 10 mean false alarms 0 corresponds to 1 mean false alarm 1 corresponds to 0.1 mean false alarms This vector will be calculated only when the objects type is #LSD_REFINE_ADV.

◆ detect() [4/4]

void OpenCVForUnity.ImgprocModule.LineSegmentDetector.detect	(	Mat	image,
		Mat	lines
	)

Finds lines in the input image.

This is the output of the default parameters of the algorithm on the above shown image.

image

Parameters

image	A grayscale (CV_8UC1) input image. If only a roi needs to be selected, use: `lsd_ptr->detect(image(roi), lines, ...); lines += Scalar(roi.x, roi.y, roi.x, roi.y);`
lines	A vector of Vec4f elements specifying the beginning and ending point of a line. Where Vec4f is (x1, y1, x2, y2), point 1 is the start, point 2 - end. Returned lines are strictly oriented depending on the gradient.
width	Vector of widths of the regions, where the lines are found. E.g. Width of line.
prec	Vector of precisions with which the lines are found.
nfa	Vector containing number of false alarms in the line region, with precision of 10%. The bigger the value, logarithmically better the detection. -1 corresponds to 10 mean false alarms 0 corresponds to 1 mean false alarm 1 corresponds to 0.1 mean false alarms This vector will be calculated only when the objects type is #LSD_REFINE_ADV.

◆ Dispose()

override void OpenCVForUnity.ImgprocModule.LineSegmentDetector.Dispose ( bool disposing )

protectedvirtual

Reimplemented from OpenCVForUnity.CoreModule.Algorithm.

◆ drawSegments()

void OpenCVForUnity.ImgprocModule.LineSegmentDetector.drawSegments	(	Mat	image,
		Mat	lines
	)

Draws the line segments on a given image.

Parameters

image	The image, where the lines will be drawn. Should be bigger or equal to the image, where the lines were found.
lines	A vector of the lines that needed to be drawn.

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

OpenCVForUnity/Assets/OpenCVForUnity/org/opencv/imgproc/LineSegmentDetector.cs

Public Member Functions

Static Public Member Functions

Protected Member Functions

Additional Inherited Members

Detailed Description

Member Function Documentation

◆ __fromPtr__()

◆ compareSegments() [1/2]

◆ compareSegments() [2/2]

◆ detect() [1/4]

◆ detect() [2/4]

◆ detect() [3/4]

◆ detect() [4/4]

◆ Dispose()

◆ drawSegments()

◆ fromPtr()