Tests pass and example works on build.

doc/examples/plot_equalize.py

@@ -64,7 +64,7 @@ img_rescale = exposure.rescale_intensity(img, in_range=(p2, p98))
 img_eq = exposure.equalize(img)
 
 # Adaptive Equalization
-img_adapteq = exposure.adapthist(img)
+img_adapteq = exposure.adapthist(img, clip_limit=0.03)
 
 
 # Display results
@@ -81,7 +81,7 @@ ax_img, ax_hist, ax_cdf = plot_img_and_hist(img_eq, axes[:, 2])
 ax_img.set_title('Histogram equalization')
 ax_cdf.set_ylabel('Fraction of total intensity')
 
-ax_img, ax_hist, ax_cdf = plot_img_and_hist(img_eq, axes[:, 3])
+ax_img, ax_hist, ax_cdf = plot_img_and_hist(img_adapteq, axes[:, 3])
 ax_img.set_title('Adaptive equalization')
 ax_cdf.set_ylabel('Fraction of total intensity')
 

skimage/exposure/__init__.py

@@ -1,2 +1,2 @@
-from .exposure import histogram, equalize, cumulative_distribution
+from .exposure import histogram, equalize, cumulative_distribution, adapthist
 from .exposure import rescale_intensity

skimage/exposure/tests/test_exposure.py

@@ -5,6 +5,7 @@ import skimage
 from skimage import data
 from skimage import exposure
 from skimage.color import rgb2gray
+from skimage.util.dtype import dtype_range
 
 
 # Test histogram equalization
@@ -94,6 +95,7 @@ def test_adapthist_float():
     img = skimage.img_as_float(data.lena())
     adapted = exposure.adapthist(img, nx=10, ny=9, clip_limit=0.01,
                         nbins=128, out_range='original')
+    assert_almost_equal = np.testing.assert_almost_equal
     assert_almost_equal(adapted.min() , img.min())
     assert_almost_equal(adapted.min(), img.min())
     assert img.shape == adapted.shape