Abstract
Mahotas is a computer vision library for Python. It contains traditional image processing functionality such as filtering and morphological operations as well as more modern computer vision functions for feature computation, including interest point detection and local descriptors. The interface is in Python, a dynamic programming language, which is very appropriate for fast development, but the algorithms are implemented in C++ and are tuned for speed. The library is designed to fit in with the scientific software ecosystem in this language and can leverage the existing infrastructure developed in that language. Mahotas is released under a liberal open source license (MIT License) and is available from (http://github.com/luispedro/mahotas) and from the Python Package Index (http://pypi.python.org/pypi/mahotas).
Highlights
SOFTWARE METAPAPERMahotas is a computer vision library for Python
Mahotas is a computer vision library for the Python Programming Language
It uses all the infrastructure built by that project for storing information and performing basic manipulations and computations
Summary
Mahotas is a computer vision library for Python. It contains traditional image processing functionality such as filtering and morphological operations as well as more modern computer vision functions for feature computation, including interest point detection and local descriptors. The interface is in Python, a dynamic programming language, which is appropriate for fast development, but the algorithms are implemented in C++ and are tuned for speed. The library is designed to fit in with the scientific software ecosystem in this language and can leverage the existing infrastructure developed in that language. Mahotas is released under a liberal open source license (MIT License) and is available from http:// github.com/luispedro/mahotas and from the Python Package Index (http://pypi.python.org/pypi/mahotas). Tutorials and full API documentation are available online at http://mahotas.readthedocs.org/. Murphy), by a grant from the Scaife Foundation, by the HHMI Interfaces Initiative, and by a grant from the Siebel Scholars Foundation
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