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Mahotas

Python Computer Vision Library

This library of fast computer vision algorithms (all implemented in C++) operates over numpy arrays for convenience.

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.
  • spline interpolation

Recent Changes

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

0.7 (December 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

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)

0.6.1 (Dec 13 2010)

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

0.6 (Nov 22 2010)

  • 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
  • Fix mahotas.imread for RGBA images

Website: http://luispedro.org/software/mahotas

API Docs: http://packages.python.org/mahotas/

Mailing List: Use the pythonvision mailing list for questions, bug submissions, etc.

Author: Luis Pedro Coelho (with code by Zachary Pincus [from scikits.image], Peter J. Verveer [from scipy.ndimage], and Davis King [from dlib])

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