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ImageSURF: An ImageJ plugin for batch pixel-based image segmentation using random forests
journal contribution
posted on 2023-05-19, 14:20 authored by Aidan O'Mara, Anna KingAnna King, James VickersJames Vickers, Matthew KirkcaldieMatthew KirkcaldieImage segmentation is a necessary step in automated quantitative imaging. ImageSURF is a macro-compatible ImageJ2/FIJI plugin for pixel-based image segmentation that considers a range of image derivatives to train pixel classifiers which are then applied to image sets of any size to produce segmentations without bias in a consistent, transparent and reproducible manner. The plugin is available from ImageJ update site http://sites.imagej.net/ImageSURF/ and source code from https://github.com/omaraa/ImageSURF.
Funding
The Mason Foundation
History
Publication title
Journal of Open Research SoftwareVolume
5Article number
31Number
31Pagination
1-7ISSN
2049-9647Department/School
Wicking Dementia Research Education CentrePublisher
Ubiquity Press Ltd.Place of publication
United KingdomRights statement
© 2017 The Authors. Licensed under Creative Commons Attribution 4.0 International (CC BY 4.0) https://creativecommons.org/licenses/by/4.0/Repository Status
- Open