scikit-image: image processing in Python']Python

被引：4100

作者：

van der Walt, Stefan ^{[1
]}

Schonberger, Johannes L. ^{[2
]}

Nunez-Iglesias, Juan ^{[3
]}

Boulogne, Francois ^{[4
]}

Warner, Joshua D. ^{[5
]}

Yager, Neil ^{[6
]}

Gouillart, Emmanuelle ^{[7
]}

Yu, Tony ^{[8
]}

机构：

[1] Univ Stellenbosch, ZA-7600 Stellenbosch, South Africa

[2] Univ N Carolina, Dept Comp Sci, Chapel Hill, NC USA

[3] Victorian Life Sci Computat Initiat, Carlton, Vic, Australia

[4] Princeton Univ, Dept Mech & Aerosp Engn, Princeton, NJ 08544 USA

[5] Mayo Clin, Dept Biomed Engn, Rochester, MN USA

[6] AICBT Ltd, Oxford, England

[7] CNRS St Gobain, Joint Unit, Cavaillon, France

[8] Enthought Inc, Austin, TX USA

来源：

PEERJ | 2014年 / 2卷

基金：

美国国家卫生研究院;

关键词：

Image processing; Reproducible research; Education; Visualization; Open source; !text type='Python']Python[!/text; Scientific programming; PLATFORM;

D O I：

10.7717/peerj.453

中图分类号：

O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

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.

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