scikit-image: image processing in Python
Stéfan J. van der WaltStellenbosch University, Stellenbosch, South AfricaJohannes L. SchönbergerDepartment of Computer Science, University of North Carolina at Chapel Hill, Chapel Hill, NC, USAJuan Nunez-IglesiasVictorian Life Sciences Computation Initiative, Carlton, VIC, AustraliaFrançois BoulogneDepartment of Mechanical and Aerospace Engineering, Princeton University, Princeton, NJ, USAJoshua WarnerDepartment of Biomedical Engineering, Mayo Clinic, Rochester, MN, USANeil YagerEmmanuelle GouillartJoint Unit, CNRS/Saint-Gobain, Cavaillon, FranceTony YuEnthought, Inc., Austin, TX, USA
2014en
ABI
Аннотация
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.
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