%HOUGHLINESP  Finds line segments in a binary image using the probabilistic Hough transform
%
%    lines = cv.HoughLinesP(image)
%    lines = cv.HoughLinesP(..., 'OptionName', optionValue, ...)
%
% ## Input
% * __image__ 8-bit, single-channel, grayscale input image.
%
% ## Output
% * __lines__ Output vector of lines. Each line is represented by a 4-element
%         vector (x1,y1,x2,y2), where (x1,y1) and (x2,y2) are the ending points
%         of each detected line segment
%
% ## Options
% * __Rho__ Distance resolution of the accumulator in pixels. default 1.
% * __Theta__ Angle resolution of the accumulator in radians. default PI/180.
% * __Threshold__ Accumulator threshold parameter. Only those lines are
%         returned that get enough votes (>threshold). default 80.
% * __MinLineLength__ Minimum line length. Line segments shorter than that are
%         rejected. default 0.
% * __MaxLineGap__ Maximum allowed gap between points on the same line to link
%         them. default 0.
%
% The function implements the probabilistic Hough transform algorithm for line
% detection, described in [Matas00].
%
% See also cv.HoughLines
%