mahotas 0.9.1

Mahotas: Computer Vision Library

Image Processing Library for Python.

It includes a couple of algorithms implemented in C++ for speed while operating
in numpy arrays.

Notable algorithms:
- watershed.
- convex points calculations.
- hit & miss. thinning.
- Zernike & Haralick, LBP, and TAS features.
- freeimage based numpy image loading (requires freeimage libraries to be
installed).
- Speeded-Up Robust Features (SURF), a form of local features.
- thresholding.
- convolution.
- Sobel edge detection.

Examples
--------

This is a simple example of loading a file (called `test.jpeg`) and calling
`watershed` using above threshold regions as a seed (we use Otsu to define
threshold).

::

import numpy as np
from scipy import ndimage
import mahotas
import pylab

img = mahotas.imread('test.jpeg')
T_otsu = mahotas.thresholding.otsu(img)
seeds,_ = ndimage.label(img > T_otsu)
labeled = mahotas.cwatershed(img.max() - img, seeds)

pylab.imshow(labeled)


Recent Changes
--------------


0.9.1 (August 28 2012)
~~~~~~~~~~~~~~~~~~~~~~

- Python 3 support (you need to use ``2to3``)
- Haar wavelets (forward and inverse transform)
- Daubechies wavelets (forward and inverse transform)
- Corner case fix in Otsu thresholding
- Add soft_threshold function
- Have polygon.convexhull return an ndarray (instead of a list)
- Memory usage improvements in regmin/regmax/close_holes (first reported
as issue #9 by thanasi)

0.9 (July 16 2012)
~~~~~~~~~~~~~~~~~~
- Auto-convert integer to double on gaussian_filter (previously, integer
values would result in zero-valued outputs).
- Check for integer types in (reg|loc)(max|min)
- Use name `out` instead of `output` for output arguments. This matches
Numpy better
- Switched to MIT License

0.8.1 (June 6 2012)
~~~~~~~~~~~~~~~~~~~
- Fix gaussian_filter bug when order argument was used (reported by John Mark
Agosta)
- Add morph.cerode
- Improve regmax() & regmin(). Rename previous implementations to locmax() &
locmin()
- Fix erode() on non-contiguous arrays

0.8 (May 7 2012)
~~~~~~~~~~~~~~~~
- Move features to submodule
- Add morph.open function
- Add morph.regmax & morph.regmin functions
- Add morph.close function
- Fix morph.dilate crash

0.7.3 (March 14 2012)
~~~~~~~~~~~~~~~~~~~~~
- Fix installation of test data
- Greyscale erosion & dilation
- Use imread module (if available)
- Add output argument to erode() & dilate()
- Add 14th Haralick feature (patch by MattyG) --- currently off by default
- Improved zernike interface (zernike_moments)
- Add remove_bordering to labeled
- Faster implementation of ``bwperim``
- Add ``roundness`` shape feature



0.7.2 (February 13 2012)
~~~~~~~~~~~~~~~~~~~~~~~~

There were two minor additions:

- Add as_rgb (especially useful for interactive use)
- Add Gaussian filtering (from scipy.ndimage)

And a few bugfixes:

- Fix type bug in 32 bit machines (Bug report by Lech Wiktor Piotrowski)
- Fix convolve1d
- Fix rank_filter


0.7.1 (January 6 2012)
~~~~~~~~~~~~~~~~~~~~~~

The most important change fixed compilation on Mac OS X

Other changes:

- Add convolve1d
- Check that convolution arguments have right dimensions (instead of
crashing)
- Add descriptor_only argument to surf.descriptors
- Specify all function signatures on freeimage.py




For version **0.7 (Dec 5 2011)**:

The big change was that the *dependency on scipy was removed*. As part of this
process, the interpolate submodule was added. A few important bug fixes as
well.

- Allow specification of centre in Zernike moment computation
- Fix Local Binary Patterns
- Remove dependency on scipy
- Add interpolate module (from scipy.ndimage)
- Add labeled_sum & labeled_sizes
- gvoronoi no longer depends on scipy
- mahotas is importable without scipy
- Fix bugs in 2D TAS (reported by Jenn Bakal)
- Support for 1-bit monochrome image loading with freeimage
- Fix GIL handling on errors (reported by Gareth McCaughan)
- Fix freeimage for 64-bit computers

For version **0.6.6 (August 8 2011)**:
- Fix fill_polygon bug (fix by joferkington)
- Fix Haralick feature 6 (fix by Rita Simões)
- Implement ``morph.get_structuring_element`` for ndim > 2. This implies that
functions such as ``label()`` now also work in multiple dimensions
- Add median filter & ``rank_filter`` functions
- Add template_match function
- Refactor by use of mahotas.internal
- Better error message for when the compiled modules cannot be loaded
- Update contact email. All docs in numpydoc format now.

For version **0.6.5**:
- Add ``max_points`` & ``descriptor_only`` arguments to mahotas.surf
- Fix haralick for 3-D images (bug report by Rita Simões)
- Better error messages
- Fix hit&miss for non-boolean inputs
- Add ``label()`` function

For version **0.6.4**:

- Fix bug in ``cwatershed()`` when using return_lines=1
- Fix bug in ``cwatershed()`` when using equivalent types for image and markers
- Move tests to mahotas.tests and include them in distribution
- Include ChangeLog in distribution
- Fix compilation on the Mac OS
- Fix compilation warnings on gcc

For version **0.6.3**:

- Improve ``mahotas.stretch()`` function
- Fix corner case in surf (when determinant was zero)
- ``threshold`` argument in mahotas.surf
- imreadfromblob() & imsavetoblob() functions
- ``max_points`` argument for mahotas.surf.interest_points()
- Add ``mahotas.labeled.borders`` function

For version **0.6.2**:

Bugfix release:

- Fix memory leak in _surf
- More robust searching for freeimage
- More functions in mahotas.surf() to retrieve intermediate results
- Improve compilation on Windows (patches by Christoph Gohlke)

For version **0.6.1**:

- Release the GIL in morphological functions
- Convolution
- just_filter option in edge.sobel()
- mahotas.labeled functions
- SURF local features

For version **0.6**:

- Improve Local Binary patterns (faster and better interface)
- Much faster erode() (10x faster)
- Faster dilate() (2x faster)
- TAS for 3D images
- Haralick for 3D images

Support
-------

*Website*: `http://luispedro.org/software/mahotas
<http://luispedro.org/software/mahotas>`_

*API Docs*: `http://packages.python.org/mahotas/
<http://packages.python.org/mahotas/>`_

*Mailing List*: Use the `pythonvision mailing list
<http://groups.google.com/group/pythonvision?pli=1>`_ for questions, bug
submissions, etc.