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Subject: CVS commit: wip/py-mahotas
From: Kamel Derouiche
Date: 2014-02-18 22:20:51
Message id: E1WFs6I-0000EU-1P@sfs-ml-4.v29.ch3.sourceforge.com
Log Message:
Import py27-mahotas-1.1.0 as wip/py-mahotas.
Mahotas is a 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
Mahotas currently has over 100 functions for image processing and
computer vision and it keeps growing.
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