scikit-image: Image processing in Python

Autor:	van der Walt, Stefan, Schönberger, Johannes L., Nunez-Iglesias, Juan, Boulogne, François, Warner, Joshua D., Yager, Neil, Gouillart, Emmanuelle, Yu, Tony, contributors, the scikit-image
Rok vydání:	2014
Předmět:	Computer Science - Mathematical Software Computer Science - Computer Vision and Pattern Recognition
Druh dokumentu:	Working Paper
DOI:	10.7717/peerj.453
Popis:	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. Comment: Distributed under Creative Commons CC-BY 4.0. Published in PeerJ
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/1407.6245 Zobrazit plný text záznamu View this record from Arxiv