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.

• 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

• 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

• 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

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)

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

• 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]