ANN: Mahotas 1.4.0

[Luis Pedro Coelho]

Hello everyone,

I recently released mahotas 1.4.0, a new version of mahotas.
Upgrading is advised as mahotas' API is very stable (please file a bug
report if any code broke).

The major new idea is a shell script to compute features from images,
just call:

mahotas-features.py --haralick file1.png file2.png file3.png...

See full docs at
http://mahotas.readthedocs.org/en/latest/mahotas-features.html

There were also a a number of small improvements and bug fixes which
warrant a new release.


Full ChangeLog:
* Add `short` argument to citation() function
* Add `max_iter` argument to thin() function
* Fixed labeled.bbox when there is no background (issue #61, reported
by
Daniel Haehn)
* Added ``mahotas-features.py`` script
* bbox now allows dimensions greater than 2 (including when using the
``as_slice`` and ``border`` arguments)
* Extended croptobbox for dimensions greater than 2
* Added use_x_minus_y_variance option to haralick features
* Add function ``lbp_names``

*

Use "pip install mahotas --upgrade" to upgrade.

On Linux, conda users can also use::

conda install -c https://conda.binstar.org/luispedro mahotas

Mahotas
-------

Mahotas is a computer vision library. Algorithms operate on numpy
arrays, but are implemented in C++ for speed (efficiency is a major
concern of mahotas).

It includes algorithms such as watershed, morphological operations,
feature computation (Haralick features, Zernike moments, and SURF), and
other tidbits.

License: MIT

Citation

**Luis Pedro Coelho** Mahotas: Open source software for scriptable
computer vision in Journal of Open Research Software, 2013.
DOI: http://dx.doi.org/10.5334/jors.ac

Release: http://pypi.python.org/pypi/mahotas
Repository: http://github.com/luispedro/mahotas
Docs: https://mahotas.readthedocs.org/en/latest/
Mailing List: http://groups.google.com/group/pythonvision

Thanks
--
Luis Pedro Coelho | EMBL | http://luispedro.org