Visual tracking for the recovery of multiple interacting plant root systems from X-ray μCT images

Mairhofer, Stefan and Johnson, James and Sturrock, Craig J. and Bennett, Malcolm J. and Mooney, Sacha J. and Pridmore, Tony P. (2015) Visual tracking for the recovery of multiple interacting plant root systems from X-ray μCT images. Machine Vision and Applications . pp. 1-14. ISSN 1432-1769

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Abstract

We propose a visual object tracking framework for the extraction of multiple interacting plant root systems from three-dimensional X-ray micro computed tomography images of plants grown in soil. Our method is based on a level set framework guided by a greyscale intensity distribution model to identify object boundaries in image cross-sections. Root objects are followed through the data volume, while updating the tracker's appearance models to adapt to changing intensity values. In the presence of multiple root systems, multiple trackers can be used, but need to distinguish target objects from one another in order to correctly associate roots with their originating plants. Since root objects are expected to exhibit similar greyscale intensity distributions, shape information is used to constrain the evolving level set interfaces in order to lock trackers to their correct targets. The proposed method is tested on root systems of wheat plants grown in soil.

Item Type: Article
Keywords: Multiple object tracking, Root system recovery, Plant interaction, X-ray micro computed tomography
Schools/Departments: University of Nottingham UK Campus > Faculty of Science > School of Biosciences
University of Nottingham UK Campus > Faculty of Science > School of Computer Science
Identification Number: https://doi.org/10.1007/s00138-015-0733-7
Depositing User: Mairhofer, Stefan
Date Deposited: 26 Apr 2016 08:37
Last Modified: 13 Sep 2016 15:54
URI: http://eprints.nottingham.ac.uk/id/eprint/32965

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