diff --git a/skimage/exposure/exposure.py b/skimage/exposure/exposure.py
index 6426d755..ff21b686 100644
--- a/skimage/exposure/exposure.py
+++ b/skimage/exposure/exposure.py
@@ -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