hough_line(image, theta=None)
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. The angle accuracy can be improved by decreasing the step size in the :None:None:`theta` array.
Input image with nonzero values representing edges.
Angles at which to compute the transform, in radians. Defaults to a vector of 180 angles evenly spaced from -pi/2 to pi/2.
Hough transform accumulator.
Angles at which the transform is 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
See :
The following pages refer to to this document either explicitly or contain code examples using this.
skimage.transform.hough_transform.hough_line
skimage.transform.hough_transform.hough_line_peaks
skimage.transform._hough_transform._hough_line
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