The origin is the top left corner of the original image. X and Y axis are horizontal and vertical edges respectively. The distance is the minimal algebraic distance from the origin to the detected line.
Input image with nonzero values representing edges.
Angles at which to compute the transform, in radians.
Hough transform accumulator.
Angles at which the transform was computed, in radians.
Distance values.
Perform a straight line Hough transform.
Generate a test image:
This example is valid syntax, but we were not able to check execution>>> img = np.zeros((100, 150), dtype=bool)
... img[30, :] = 1
... img[:, 65] = 1
... img[35:45, 35:50] = 1
... for i in range(90):
... img[i, i] = 1
... img += np.random.random(img.shape) > 0.95
Apply the Hough transform:
This example is valid syntax, but we were not able to check execution>>> out, angles, d = hough_line(img)
.. plot:: hough_tf.py
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