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ImageSURF: An ImageJ plugin for batch pixel-based image segmentation using random forests
journal contributionposted on 2023-05-19, 14:20 authored by Aidan O'Mara, Anna KingAnna King, James VickersJames Vickers, Matthew KirkcaldieMatthew Kirkcaldie
Image 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.
The Mason Foundation
Publication titleJournal of Open Research Software
Department/SchoolWicking Dementia Research Education Centre
PublisherUbiquity Press Ltd.
Place of publicationUnited Kingdom
Rights statement© 2017 The Authors. Licensed under Creative Commons Attribution 4.0 International (CC BY 4.0) https://creativecommons.org/licenses/by/4.0/