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Migrate dask-image org's subpackages (#10)

* Try to import tifffile if possible

First try to import `tifffile` directly. As this is a dependency of
`pims` in most cases this should work.  However some older versions of
`pims` (particularly for Python 3.4) pull in `scikit-image` instead for
some reason. So if `tifffile` can't be imported directly, try importing
it from `scikit-image`'s `external` package.

* Monkey patch pims to use the available tifffile

This seems to occur on Python 3.4 as the pims 0.3.3 package on
conda-forge pulls in scikit-image instead of tifffile, but seems to not
be able to use it. To fix that we import any available tifffile and
monkey patch pims only if it didn't find any tifffile. However there is
a chance we failed to find tifffile as well. In that case this amounts
to a no-op.

* Ignore test coverage when scikit-image is missing

Even though it is extremely unlikely that both `tifffile` and
`scikit-image` will not be present, we would still like to gracefully
handle this case. Instead of dropping the exception handling here
because it is  technically not covered in our testing, simply note to
coverage that it should not bother with this case.

* Rename `imread`'s `fn` to `fname`

Changes the filename parameter of `imread` from `fn` to `fname`. This is
done to be more consistent with SciPy and scikit-image, which both use
`fname`. Though this differs from Dask, which uses `filename`.

* Add a docstring for imread

Provides some brief explanation of about how `imread` works and what it
returns.

* Test another negative number of frames

Also test -2 as an argument to `nframes` to make sure it also fails.

* Drop ValueError if `nframes` is -1

As having `nframes` be `-1` will mean having one chunk, we no longer
should raise a `ValueError` when that value occurs. Also drop the test
for a `ValueError` if `nframes` is `-1`.

* Treat `nframes` equal to `-1` as one big chunk

If t... (continued)

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