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      scikit-image: image processing in Python

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          Abstract

          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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          Most cited references 20

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          Fiji: an open-source platform for biological-image analysis.

          Fiji is a distribution of the popular open-source software ImageJ focused on biological-image analysis. Fiji uses modern software engineering practices to combine powerful software libraries with a broad range of scripting languages to enable rapid prototyping of image-processing algorithms. Fiji facilitates the transformation of new algorithms into ImageJ plugins that can be shared with end users through an integrated update system. We propose Fiji as a platform for productive collaboration between computer science and biology research communities.
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            NIH Image to ImageJ: 25 years of image analysis.

            For the past 25 years NIH Image and ImageJ software have been pioneers as open tools for the analysis of scientific images. We discuss the origins, challenges and solutions of these two programs, and how their history can serve to advise and inform other software projects.
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              Matplotlib: A 2D Graphics Environment

               John Hunter (2007)
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                Author and article information

                Contributors
                Journal
                PeerJ
                PeerJ
                PeerJ
                PeerJ
                PeerJ
                PeerJ Inc. (San Francisco, USA )
                2167-8359
                19 June 2014
                2014
                : 2
                Affiliations
                [1 ]Stellenbosch University , Stellenbosch, South Africa
                [2 ]Department of Computer Science, University of North Carolina at Chapel Hill , Chapel Hill, NC, USA
                [3 ]Victorian Life Sciences Computation Initiative , Carlton, VIC, Australia
                [4 ]Department of Mechanical and Aerospace Engineering, Princeton University , Princeton, NJ, USA
                [5 ]Department of Biomedical Engineering, Mayo Clinic , Rochester, MN, USA
                [6 ]AICBT Ltd , Oxford, UK
                [7 ]Joint Unit, CNRS/Saint-Gobain , Cavaillon, France
                [8 ]Enthought, Inc. , Austin, TX, USA
                Article
                453
                10.7717/peerj.453
                4081273
                © 2014 Van der Walt et al.

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited.

                Product
                Funding
                Funded by: NIH F30DK098832
                Portions of the research reported in this publication were supported by the National Institute of Diabetes and Digestive and Kidney Diseases of the National Institutes of Health under award number F30DK098832. Portions of the research reported in this paper were supported by the Victorian Life Sciences Computation Initiative. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Bioinformatics
                Computational Biology
                Computational Science
                Human–Computer Interaction
                Science and Medical Education

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