ImageJ-MATLAB: a bidirectional framework for scientific image analysis interoperability

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Abstract

ImageJ-MATLAB is a lightweight Java library facilitating bi-directional interoperability between MATLAB and ImageJ. By defining a standard for translation between matrix and image data structures, researchers are empowered to select the best tool for their image-analysis tasks.

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ImgLib2—generic image processing in Java

Tobias Pietzsch, Stephan Preibisch, Pavel Tomancak … (2012)

Summary: ImgLib2 is an open-source Java library for n-dimensional data representation and manipulation with focus on image processing. It aims at minimizing code duplication by cleanly separating pixel-algebra, data access and data representation in memory. Algorithms can be implemented for classes of pixel types and generic access patterns by which they become independent of the specific dimensionality, pixel type and data representation. ImgLib2 illustrates that an elegant high-level programming interface can be achieved without sacrificing performance. It provides efficient implementations of common data types, storage layouts and algorithms. It is the data model underlying ImageJ2, the KNIME Image Processing toolbox and an increasing number of Fiji-Plugins. Availability: ImgLib2 is licensed under BSD. Documentation and source code are available at http://imglib2.net and in a public repository at https://github.com/imagej/imglib. Supplementary Information: Supplementary data are available at Bioinformatics Online. Contact: saalfeld@mpi-cbg.de

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Journal

Title: Bioinformatics

Abbreviated Title: Bioinformatics

Publisher: Oxford University Press (OUP)

ISSN (Print): 1367-4803

ISSN (Electronic): 1460-2059

Publication date (Print): October 26 2016

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Page: btw681

Article

DOI: 10.1093/bioinformatics/btw681

PMC ID: 6041959

PubMed ID: 27797782

SO-VID: a1224067-ce31-46d3-abe6-2ca293ceb6b9

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