Visual tracking for the recovery of multiple interacting plant root systems from X-ray μCT images
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 identi...
| Main Authors: | , , , , , |
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| Format: | Article |
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Springer Verlag
2015
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| Online Access: | https://eprints.nottingham.ac.uk/32965/ |
| _version_ | 1848794530038415360 |
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| author | Mairhofer, Stefan Johnson, James Sturrock, Craig Bennett, Malcolm J. Mooney, Sacha J. Pridmore, Tony P. |
| author_facet | Mairhofer, Stefan Johnson, James Sturrock, Craig Bennett, Malcolm J. Mooney, Sacha J. Pridmore, Tony P. |
| author_sort | Mairhofer, Stefan |
| building | Nottingham Research Data Repository |
| collection | Online Access |
| description | 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. |
| first_indexed | 2025-11-14T19:17:39Z |
| format | Article |
| id | nottingham-32965 |
| institution | University of Nottingham Malaysia Campus |
| institution_category | Local University |
| last_indexed | 2025-11-14T19:17:39Z |
| publishDate | 2015 |
| publisher | Springer Verlag |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | nottingham-329652020-05-04T17:26:57Z https://eprints.nottingham.ac.uk/32965/ Visual tracking for the recovery of multiple interacting plant root systems from X-ray μCT images Mairhofer, Stefan Johnson, James Sturrock, Craig Bennett, Malcolm J. Mooney, Sacha J. Pridmore, Tony P. 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. Springer Verlag 2015-12-12 Article PeerReviewed Mairhofer, Stefan, Johnson, James, Sturrock, Craig, Bennett, Malcolm J., 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 Multiple object tracking Root system recovery Plant interaction X-ray micro computed tomography http://link.springer.com/article/10.1007/s00138-015-0733-7 doi:10.1007/s00138-015-0733-7 doi:10.1007/s00138-015-0733-7 |
| spellingShingle | Multiple object tracking Root system recovery Plant interaction X-ray micro computed tomography Mairhofer, Stefan Johnson, James Sturrock, Craig Bennett, Malcolm J. Mooney, Sacha J. Pridmore, Tony P. Visual tracking for the recovery of multiple interacting plant root systems from X-ray μCT images |
| title | Visual tracking for the recovery of multiple interacting plant root systems from X-ray μCT images |
| title_full | Visual tracking for the recovery of multiple interacting plant root systems from X-ray μCT images |
| title_fullStr | Visual tracking for the recovery of multiple interacting plant root systems from X-ray μCT images |
| title_full_unstemmed | Visual tracking for the recovery of multiple interacting plant root systems from X-ray μCT images |
| title_short | Visual tracking for the recovery of multiple interacting plant root systems from X-ray μCT images |
| title_sort | visual tracking for the recovery of multiple interacting plant root systems from x-ray μct images |
| topic | Multiple object tracking Root system recovery Plant interaction X-ray micro computed tomography |
| url | https://eprints.nottingham.ac.uk/32965/ https://eprints.nottingham.ac.uk/32965/ https://eprints.nottingham.ac.uk/32965/ |