`skimage.transform.hough_transform:probabilistic_hough_line`

source: /dev/scikit-image/src/skimage/transform/hough_transform.py :250

Signature

   def     probabilistic_hough_line (    image    ,    threshold    =  10   ,    line_length    =  50   ,    line_gap    =  10   ,    theta    =  None   ,    rng    =  None     )

Summary

Return lines from a progressive probabilistic line Hough transform.

Parameters

image : ndarray, shape (M, N): Input image with nonzero values representing edges.
threshold : int, optional: Threshold
line_length : int, optional: Minimum accepted length of detected lines. Increase the parameter to extract longer lines.
line_gap : int, optional: Maximum gap between pixels to still form a line. Increase the parameter to merge broken lines more aggressively.
theta : ndarray of dtype, shape (K,), optional: Angles at which to compute the transform, in radians. Defaults to a vector of 180 angles evenly spaced in the range [-pi/2, pi/2).
rng : {`numpy.random.Generator`, int}, optional: Pseudo-random number generator. By default, a PCG64 generator is used (see numpy.random.default_rng). If rng is an int, it is used to seed the generator.

Returns

lines : list: List of lines identified, lines in format ((x0, y0), (x1, y1)), indicating line start and end.

Aliases

skimage.transform.probabilistic_hough_line