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Fix some doc strings for latex docs

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1 parent a1ad4ca commit 0324737c4739824186b4da88ba408482a0d6f5b2 @ahojnnes ahojnnes committed Mar 12, 2013
Showing with 2 additions and 7 deletions.
  1. +2 −2 skimage/filter/rank/rank.pyx
  2. +0 −3 skimage/io/collection.py
  3. +0 −2 skimage/transform/hough_transform.py
@@ -669,7 +669,7 @@ def noise_filter(image, selem, out=None, mask=None, shift_x=False,
def entropy(image, selem, out=None, mask=None, shift_x=False, shift_y=False):
- """Returns the entropy [wiki_entropy]_ computed locally. Entropy is computed
+ """Returns the entropy [1]_ computed locally. Entropy is computed
using base 2 logarithm i.e. the filter returns the minimum number of
bits needed to encode local greylevel distribution.
@@ -698,7 +698,7 @@ def entropy(image, selem, out=None, mask=None, shift_x=False, shift_y=False):
References
----------
- .. [wiki_entropy] http://en.wikipedia.org/wiki/Entropy_(information_theory)
+ .. [1] http://en.wikipedia.org/wiki/Entropy_(information_theory)
Examples
--------
@@ -102,9 +102,6 @@ class MultiImage(object):
(15, 10)
(15, 10)
- The two frames in this image can be shown with matplotlib:
-
- .. plot:: show_collection.py
"""
def __init__(self, filename, conserve_memory=True, dtype=None):
"""Load a multi-img."""
@@ -140,8 +140,6 @@ def hough_line(img, theta=None):
>>> out, angles, d = hough(img)
- .. plot:: hough_tf.py
-
"""
return _hough(img, theta)

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