scikit-image: image processing in Python
PeerJ2014Vol. 2, pp. e453–e453
Citations Over TimeTop 1% of 2014 papers
Stéfan van der Walt, Johannes L. Schönberger, Juan Nunez-Iglesias, François Boulogne, Joshua Warner, Neil Yager, Emmanuelle Gouillart, Tony Yu
Abstract
scikit-image is an image processing library that implements algorithms and utilities for use in research, education and industry applications. It is released under the liberal Modified BSD open source license, provides a well-documented API in the Python programming language, and is developed by an active, international team of collaborators. In this paper we highlight the advantages of open source to achieve the goals of the scikit-image library, and we showcase several real-world image processing applications that use scikit-image. More information can be found on the project homepage, http://scikit-image.org.
Related Papers
- → PVLIB: Open source photovoltaic performance modeling functions for Matlab and Python(2016)117 cited
- trindikit.py: An open-source Python library for developing ISU-based dialogue systems(2009)
- → Sit2StandPy: An Open-Source Python Package for Detecting and Quantifying Sit-to-Stand Transitions Using an Accelerometer on the Lower Back(2020)3 cited
- → Analysis of open source license selection for the GitHub programming community(2020)1 cited