c – 一般的OpenCV线路检测

如果您有平行线,请使用

void HoughLines(InputArray image,OutputArray lines,double rho,double theta,int threshold,double srn=0,double stn=0 )

用于检测第二个参数将包含检测的行：

lines – Output vector of lines. Each line is represented by a
two-element vector (ρ,θ) . ρ is the distance from the coordinate
origin (0,0) (top-left corner of the image). θ is the line rotation
angle in radians ( 0 ～ vertical line,π/2 ～ horizontal line ).
[opencv2refman.pdf]

这意味着两条线之间的距离应为abs(rho1-rho2),即距离是第一列线中像素值之间的绝对差值. (注意：方法应该是CV_HOUGH_STANDARD！)

对于非平行线,您必须定义您认为的距离,但OpenCV仍然可以为您提供每个检测到的线的端点坐标.
你只需要使用method = CV_HOUGH_PROBABILISTIC.

CV_HOUGH_PROBABILISTIC probabilistic Hough transform (more efficient
in case if the picture contains a few long linear segments). It
returns line segments rather than the whole line. Each segment is
represented by starting and ending points,and the matrix must be (the
created sequence will be) of the CV_32SC4 type.
[opencv2refman.pdf]

您还可以在已安装的OpenCV的文档中找到opencv_tutorials.pdf中的教程.