scikit-image: image processing in Python

scikit-image: image processing in Python

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...

Full description

Bibliographic Details
Main Authors: Stéfan van der Walt, Johannes L. Schönberger, Juan Nunez-Iglesias, François Boulogne, Joshua D. Warner, Neil Yager, Emmanuelle Gouillart, Tony Yu, the scikit-image contributors
Format: Article
Language:English
Published: PeerJ Inc. 2014-06-01
Series:PeerJ
Subjects:
Image processing
Reproducible research
Education
Visualization
Open source
Python
Online Access:https://peerj.com/articles/453.pdf
id doaj-59ac72e7050e49868f3124aa944829e4
record_format Article
spelling doaj-59ac72e7050e49868f3124aa944829e42020-11-25T00:00:23ZengPeerJ Inc.PeerJ2167-83592014-06-012e45310.7717/peerj.453453scikit-image: image processing in PythonStéfan van der Walt0Johannes L. Schönberger1Juan Nunez-Iglesias2François Boulogne3Joshua D. Warner4Neil Yager5Emmanuelle Gouillart6Tony Yu7the scikit-image contributorsStellenbosch University, Stellenbosch, South AfricaDepartment of Computer Science, University of North Carolina at Chapel Hill, Chapel Hill, NC, USAVictorian Life Sciences Computation Initiative, Carlton, VIC, AustraliaDepartment of Mechanical and Aerospace Engineering, Princeton University, Princeton, NJ, USADepartment of Biomedical Engineering, Mayo Clinic, Rochester, MN, USAAICBT Ltd, Oxford, UKJoint Unit, CNRS/Saint-Gobain, Cavaillon, FranceEnthought, Inc., Austin, TX, USAscikit-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.https://peerj.com/articles/453.pdfImage processingReproducible researchEducationVisualizationOpen sourcePython
collection DOAJ
language English
format Article
sources DOAJ
author Stéfan van der Walt
Johannes L. Schönberger
Juan Nunez-Iglesias
François Boulogne
Joshua D. Warner
Neil Yager
Emmanuelle Gouillart
Tony Yu
the scikit-image contributors
spellingShingle Stéfan van der Walt
Johannes L. Schönberger
Juan Nunez-Iglesias
François Boulogne
Joshua D. Warner
Neil Yager
Emmanuelle Gouillart
Tony Yu
the scikit-image contributors
scikit-image: image processing in Python
PeerJ
Image processing
Reproducible research
Education
Visualization
Open source
Python
author_facet Stéfan van der Walt
Johannes L. Schönberger
Juan Nunez-Iglesias
François Boulogne
Joshua D. Warner
Neil Yager
Emmanuelle Gouillart
Tony Yu
the scikit-image contributors
author_sort Stéfan van der Walt
title scikit-image: image processing in Python
title_short scikit-image: image processing in Python
title_full scikit-image: image processing in Python
title_fullStr scikit-image: image processing in Python
title_full_unstemmed scikit-image: image processing in Python
title_sort scikit-image: image processing in python
publisher PeerJ Inc.
series PeerJ
issn 2167-8359
publishDate 2014-06-01
description 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.
topic Image processing
Reproducible research
Education
Visualization
Open source
Python
url https://peerj.com/articles/453.pdf
work_keys_str_mv AT stefanvanderwalt scikitimageimageprocessinginpython
AT johanneslschonberger scikitimageimageprocessinginpython
AT juannuneziglesias scikitimageimageprocessinginpython
AT francoisboulogne scikitimageimageprocessinginpython
AT joshuadwarner scikitimageimageprocessinginpython
AT neilyager scikitimageimageprocessinginpython
AT emmanuellegouillart scikitimageimageprocessinginpython
AT tonyyu scikitimageimageprocessinginpython
AT thescikitimagecontributors scikitimageimageprocessinginpython
_version_ 1725445392570515456

Similar Items