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scikit-image

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Provides high quality, well-documented and easy-to-use implementations of common image processing algorithms. Scikit-image is an image processing library that implements algorithms and utilities for use in research, education (by allowing students in image processing to learn algorithms in a hands-on fashion by adjusting parameters and modifying code) and industry applications (High quality reference implementations of trusted algorithms provide industry with a reliable way of attacking problems without having to expend significant energy in re-implementing algorithms already available in commercial packages).

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scikit-image versioning

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scikit-image classification

scikit-image specifications

Software type:
Package/Module
Restrictions to use:
None
Programming languages:
Python
Computer skills:
Advanced
Stability:
Stable
Maintained:
Yes
Interface:
Command line interface
Operating system:
Unix/Linux, Mac OS, Windows
License:
BSD 3-clause “New” or “Revised” License
Version:
0.12.3
Requirements:
C/C++ compiler, NumPy, Cython
Source code URL:
https://github.com/scikit-image/scikit-image

scikit-image support

Maintainer

  • Emmanuelle Gouillart <>

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Publications

Institution(s)

Surface du Verre et Interfaces, UMR 125 CNRS/Saint-Gobain, Aubervilliers, France; Victorian Life Sciences Computation Initiative, University of Melbourne, Carlton, VIC, Australia; Division of Applied Mathematics, Stellenbosch University, Stellenbosch, South Africa.

Funding source(s)

This work was supported by ANR project EDDAM ANR-11-BS09-027.

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