Journal of Open Research Software · 2013 · 149 citations · 15 references
ComputingComputer ScienceComputer VisionDigital ImagingMachine VisionFeature DescriptionFeature DetectionImage AnalysisImage ProcessingObject DetectionObject RecognitionApi DocumentationImage Feature ExtractionInterest Point DetectionLocal Feature DescriptorsLocal Feature DetectionMorphological TransformationOpen-source Software DevelopmentVisual Feature Extraction
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/.
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