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It includes a couple of algorithms implemented in C++ for speed while operating in numpy arrays.
The main algorithms are Otsu thresholding and watershed.
Here are some key features of "Mahotas":
Algorithms used:
· Watershed.
· Thresholding.
· Convolution.
· Sobel edge detection.
· 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.
What's New in This Release: [ read full changelog ]
· Fix compilation on Mac OS X 10.8
· Freeimage fixes on Windows
· Slightly faster _filter implementaiton

Via: Mahotas 0.9.2






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