The function cvHoughLines2 implements a few variants of Hough transform for line detection

Namespace: Emgu.CV
Assembly: Emgu.CV (in Emgu.CV.dll) Version: 2.2.1.1150 (2.2.1.1150)

Syntax

         
 C#  Visual Basic  Visual C++ 
public static IntPtr cvHoughLines2(
	IntPtr image,
	IntPtr lineStorage,
	HOUGH_TYPE method,
	double rho,
	double theta,
	int threshold,
	double param1,
	double param2
)
Public Shared Function cvHoughLines2 ( _
	image As IntPtr, _
	lineStorage As IntPtr, _
	method As HOUGH_TYPE, _
	rho As Double, _
	theta As Double, _
	threshold As Integer, _
	param1 As Double, _
	param2 As Double _
) As IntPtr
public:
static IntPtr cvHoughLines2(
	IntPtr image, 
	IntPtr lineStorage, 
	HOUGH_TYPE method, 
	double rho, 
	double theta, 
	int threshold, 
	double param1, 
	double param2
)

Parameters

image
IntPtr
The input 8-bit single-channel binary image. In case of probabilistic method the image is modified by the function
lineStorage
IntPtr
The storage for the lines detected. It can be a memory storage (in this case a sequence of lines is created in the storage and returned by the function) or single row/single column matrix (CvMat*) of a particular type (see below) to which the lines' parameters are written. The matrix header is modified by the function so its cols or rows will contain a number of lines detected. If line_storage is a matrix and the actual number of lines exceeds the matrix size, the maximum possible number of lines is returned (in case of standard hough transform the lines are sorted by the accumulator value).
method
HOUGH_TYPE
The Hough transform variant
rho
Double
Distance resolution in pixel-related units
theta
Double
Angle resolution measured in radians
threshold
Int32
Threshold parameter. A line is returned by the function if the corresponding accumulator value is greater than threshold
param1
Double
The first method-dependent parameter: For classical Hough transform it is not used (0). For probabilistic Hough transform it is the minimum line length. For multi-scale Hough transform it is divisor for distance resolution rho. (The coarse distance resolution will be rho and the accurate resolution will be (rho / param1))
param2
Double
The second method-dependent parameter: For classical Hough transform it is not used (0). For probabilistic Hough transform it is the maximum gap between line segments lieing on the same line to treat them as the single line segment (i.e. to join them). For multi-scale Hough transform it is divisor for angle resolution theta. (The coarse angle resolution will be theta and the accurate resolution will be (theta / param2)).

Return Value

Pointer to the decetected lines

See Also