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Corrected typos + modified docstring that made doctest fail

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emmanuelle
2014-12-02 22:10:30 +01:00
parent 2636abba92
commit 5553ea44b3
1 changed files with 14 additions and 14 deletions
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skimage/exposure/exposure.py
+14 -14
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@@ -44,14 +44,14 @@ def histogram(image, nbins=256):
bin_centers : array
The values at the center of the bins.
See also
See Also
--------
cumulative_distribution
Examples
--------
>>> from skimage import data, exposure, util
>>> image = util.img_as_float(data.camera())
>>> from skimage import data, exposure
>>> image = skimage.img_as_float(data.camera())
>>> np.histogram(image, bins=2)
(array([107432, 154712]), array([ 0. , 0.5, 1. ]))
>>> exposure.histogram(image, nbins=2)
@@ -106,7 +106,7 @@ def cumulative_distribution(image, nbins=256):
bin_centers : array
Centers of bins.
See also
See Also
--------
histogram
@@ -116,8 +116,8 @@ def cumulative_distribution(image, nbins=256):
Examples
--------
>>> from skimage import data, exposure, util
>>> image = util.img_as_float(data.camera())
>>> from skimage import data, exposure
>>> image = skimage.img_as_float(data.camera())
>>> hi = exposure.histogram(image)
>>> cdf = exposure.cumulative_distribution(image)
>>> np.alltrue(cdf[0] == np.cumsum(hi[0])/float(image.size))
@@ -241,7 +241,7 @@ def rescale_intensity(image, in_range='image', out_range='dtype'):
Image array after rescaling its intensity. This image is the same dtype
as the input image.
See also
See Also
--------
intensity_range, equalize_hist
@@ -335,7 +335,7 @@ def adjust_gamma(image, gamma=1, gain=1):
out : ndarray
Gamma corrected output image.
See also
See Also
--------
adjust_log
@@ -353,12 +353,12 @@ def adjust_gamma(image, gamma=1, gain=1):
Examples
--------
>>> from skimage import data, exposure, util
>>> image = util.img_as_float(data.moon())
>>> from skimage import data, exposure
>>> image = skimage.img_as_float(data.moon())
>>> gamma_corrected = exposure.adjust_gamma(image, 2)
>>> # Output is darker for gamma > 1
>>> image.mean(), gamma_corrected.mean()
(0.43988067028574979, 0.19622774786391453)
>>> image.mean() > gamma_corrected.mean()
True
"""
_assert_non_negative(image)
dtype = image.dtype.type
@@ -394,7 +394,7 @@ def adjust_log(image, gain=1, inv=False):
out : ndarray
Logarithm corrected output image.
See also
See Also
--------
adjust_gamma
@@ -441,7 +441,7 @@ def adjust_sigmoid(image, cutoff=0.5, gain=10, inv=False):
out : ndarray
Sigmoid corrected output image.
See also
See Also
--------
adjust_gamma