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add option full_output to hough_circ

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François Boulogne
2013-04-16 15:01:02 +02:00
parent 9f20e42031
commit 1780a8d2e7
3 changed files with 34 additions and 11 deletions
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skimage/transform/tests/test_hough_transform.py
+18 -2
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@@ -117,11 +117,27 @@ def test_hough_circle():
img = np.zeros((120, 100), dtype=int)
radius = 20
x_0, y_0 = (99, 50)
x, y = circle_perimeter(y_0, x_0, radius)
img[y, x] = 1
y, x = circle_perimeter(y_0, x_0, radius)
img[x, y] = 1
out = tf.hough_circle(img, np.array([radius]))
x, y = np.where(out[0] == out[0].max())
# Offset for x_0, y_0
assert_equal(x[0], x_0)
assert_equal(y[0], y_0)
def test_hough_circle_extended():
# Prepare picture
# The circle center is outside the image
img = np.zeros((100, 100), dtype=int)
radius = 20
x_0, y_0 = (-5, 50)
y, x = circle_perimeter(y_0, x_0, radius)
img[x[np.where(x>0)], y[np.where(x>0)]] = 1
out = tf.hough_circle(img, np.array([radius]), full_output=True)
x, y = np.where(out[0] == out[0].max())
# Offset for x_0, y_0
assert_equal(x[0], x_0 + radius)