probabilistic_hough_line
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skimage.transform.probabilistic_hough_line(img, threshold=10, line_length=50, line_gap=10, theta=None)
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Return lines from a progressive probabilistic line Hough transform.
Parameters: img : (M, N) ndarray
Input image with nonzero values representing edges.
threshold : int, optional (default 10)
Threshold
line_length : int, optional (default 50)
Minimum accepted length of detected lines. Increase the parameter to extract longer lines.
line_gap : int, optional, (default 10)
Maximum gap between pixels to still form a line. Increase the parameter to merge broken lines more aggresively.
theta : 1D ndarray, dtype=double, optional, default (-pi/2 .. pi/2)
Angles at which to compute the transform, in radians.
Returns: lines : list
List of lines identified, lines in format ((x0, y0), (x1, y0)), indicating line start and end.
References
[R375] C. Galamhos, J. Matas and J. Kittler, “Progressive probabilistic Hough transform for line detection”, in IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 1999.
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