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Fix typo

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Johannes Schönberger
2012-10-10 09:15:22 +02:00
parent f4bdd94452
commit 5fbdd91712
1 changed files with 3 additions and 3 deletions
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skimage/transform/hough_transform.py
+3 -3
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@@ -142,7 +142,7 @@ def hough_peaks(hspace, angles, dists, min_distance=10, min_angle=10,
"""Return peaks in hough transform.
Identifies most prominent lines separated by a certain angle and distance in
a hough transform. Non-maximum suppresion with different sizes is applied
a hough transform. Non-maximum suppression with different sizes is applied
separately in the first (distances) and second (angles) dimension of the
hough space to identify peaks.
@@ -206,14 +206,14 @@ def hough_peaks(hspace, angles, dists, min_distance=10, min_angle=10,
dist_peaks = []
angle_peaks = []
# relative coordinate grid for local neighbourhood suppresion
# relative coordinate grid for local neighbourhood suppression
dist_ext, angle_ext = np.mgrid[- min_distance:min_distance + 1,
- min_angle:min_angle + 1]
for dist_idx, angle_idx in hspace_max:
accum = hspace[dist_idx, angle_idx]
if accum > threshold:
# absolute coordinate grid for local neighbourhood suppresion
# absolute coordinate grid for local neighbourhood suppression
dist_nh = dist_idx + dist_ext
angle_nh = angle_idx + angle_ext