* 'adapthist' of github.com:blink1073/scikits-image:
Cleaned up adapthist func to use LAB for all RGB->required rest result change
Removed sys.path hack in test, fixed spelling of import in __init__.py
Translated clahe C code to python, added to list of contributors.
Passed all tests with full coverage, PEP8 and Pylint performed.
Improved support for color images using lab transform.
Replaced generic ACM license with the Graphics Gems IV license.
Pep8 fixes.
Added Notes to the docstring.
Tests pass and example works on build.
Initial commit of adapthist modifications.
Conflicts:
CONTRIBUTORS.txt
doc/examples/plot_equalize.py
skimage/exposure/_adapthist.py
skimage/exposure/tests/test_exposure.py
skimage/setup.py
`import skimage` in submodules seems to cause issues with Sphinx autodocs. (Maybe some sort of circular import issue.) Note the `ImportErrors` fixed by this commit don't actually cause sphinx build errors; Sphinx seems to capture the errors, but it's annoyingly noisy, nonetheless.
The `density` (or `normed`) parameter was set in the original implementation of `equalize`, but it is unnecessary since `cumulative_distribution` renormalizes values. The only other function in scikits-image that calls `histogram` (`filter.threshold_otsu`) is not affected by renormalization.
`equalize_hist`: "max_intensity" parameter no longer exists---img_as_float normalizes intensity range
`cumulative_distribution`: Return centers of bins instead of the edges.
Move `histogram` function from filter subpackage.
Add test of equalize_hist
Add example of histogram equalization.
Steven Silvester