MorphoLibJ: integrated library and plugins for mathematical morphology with ImageJ

David Legland; Ignacio Arganda-Carreras; Philippe Andrey

doi:10.1093/bioinformatics/btw413

MorphoLibJ: integrated library and plugins for mathematical morphology with ImageJ

Bioinformatics. 2016 Nov 15;32(22):3532-3534. doi: 10.1093/bioinformatics/btw413. Epub 2016 Jul 13.

Authors

David Legland^{1

2

3}, Ignacio Arganda-Carreras^{2

4

5

6}, Philippe Andrey^{2

7}

Affiliations

¹ UR1268 Biopolymers, Interactions and Assemblies, INRA, Nantes, France.
² Institut Jean-Pierre Bourgin, INRA, AgroParisTech, CNRS, Université Paris-Saclay, Versailles, Cedex, RD10, 78026, France.
³ UMR782 Food Process Engineering and Microbiology, INRA, AgroParisTech, Thiverval-Grignon, France.
⁴ Basque Foundation for Science, Ikerbasque, Bilbao, 48013, Spain.
⁵ Computer Science and Artificial Intelligence Department, Basque Country University (UPV/EHU), Donostia-San Sebastian, 20018, Spain.
⁶ Donostia International Physics Center (DIPC), Donostia-San Sebastian, 20018, Spain.
⁷ Sorbonne Universités, UPMC Univ Paris 06, UFR 927, Paris, France.

PMID: 27412086
DOI: 10.1093/bioinformatics/btw413

Abstract

Motivation: Mathematical morphology (MM) provides many powerful operators for processing 2D and 3D images. However, most MM plugins currently implemented for the popular ImageJ/Fiji platform are limited to the processing of 2D images.

Results: The MorphoLibJ library proposes a large collection of generic tools based on MM to process binary and grey-level 2D and 3D images, integrated into user-friendly plugins. We illustrate how MorphoLibJ can facilitate the exploitation of 3D images of plant tissues.

Availability and implementation: MorphoLibJ is freely available at http://imagej.net/MorphoLibJ CONTACT: david.legland@nantes.inra.frSupplementary information: Supplementary data are available at Bioinformatics online.

MeSH terms

Image Processing, Computer-Assisted*
Imaging, Three-Dimensional*
Software*