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TSTFIX: Fix imports in hough_ellipse doctest

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Josh Warner (Mac)
2015-10-25 14:34:53 -05:00
parent 159c9f4e9e
commit a3356194c8
3 changed files with 28 additions and 16 deletions
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skimage/transform/hough_transform.py
+6 -3
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@@ -59,7 +59,7 @@ def hough_line(img, theta=None):
if theta is None:
# These values are approximations of pi/2
theta = np.linspace(-1.5707963267948966, 1.5707963267948966, 180)
theta = np.linspace(-np.pi / 2, np.pi / 2, 180)
return _hough_line(img, theta=theta)
@@ -225,7 +225,7 @@ def probabilistic_hough_line(img, threshold=10, line_length=50, line_gap=10,
raise ValueError('The input image `img` must be 2D.')
if theta is None:
theta = 1.5707963267948966 - np.arange(180) / 180.0 * np.pi
theta = np.pi / 2 - np.arange(180) / 180.0 * np.pi
return _prob_hough_line(img, threshold=threshold, line_length=line_length,
line_gap=line_gap, theta=theta)
@@ -304,11 +304,14 @@ def hough_ellipse(img, threshold=4, accuracy=1, min_size=4, max_size=None):
Examples
--------
>>> from skimage.transform import hough_ellipse
>>> from skimage.draw import ellipse_perimeter
>>> img = np.zeros((25, 25), dtype=np.uint8)
>>> rr, cc = ellipse_perimeter(10, 10, 6, 8)
>>> img[cc, rr] = 1
>>> result = hough_ellipse(img, threshold=8)
[(10, 10.0, 8.0, 6.0, 0.0, 10.0)]
>>> result.tolist()
[(10, 10.0, 10.0, 8.0, 6.0, 0.0)]
Notes
-----