Mahotas 0.9.1

Developer: Website: License / Price: Platforms: Databases: Language: Last Updated: Category: Luis Pedro Coelho | More scripts pypi.python.org MIT License  Windows / Linux / Mac OS / BSD / Solaris N/A Python August 31st, 2012, 16:54 GMT [view history] C: \ Modules \ Python Modules

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 ]

· 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.

Via: Mahotas 0.9.1