Portal de Periódicos da CAPES

scikit-image: image processing in Python

2014; PeerJ, Inc.; Volume: 2; Linguagem: Inglês

10.7717/peerj.453

2167-8359

Stéfan van der Walt, Johannes L. Schönberger, Juan Nunez-Iglesias, François Boulogne, Joshua Warner, Neil Yager, Emmanuelle Gouillart, Tony Yu,

Radiomics and Machine Learning in Medical Imaging

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.