Automated counting of the Northern Pacific Sea Star in the Derwent using shape recognition

Smith, Daniel & Dunbabin, Matthew (2007) Automated counting of the Northern Pacific Sea Star in the Derwent using shape recognition. In 9th Biennial Conference of the Australian Pattern Recognition Society on Digital Image Computing Techniques and Applications, IEEE, Glenelg, South Australia, pp. 500-507.

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A novel shape recognition algorithm was developed to autonomously classify the Northern Pacific Sea Star (Asterias amurenis) from benthic images that were collected by the Starbug AUV during 6km of transects in the Derwent estuary. Despite the effects of scattering, attenuation, soft focus and motion blur within the underwater images, an optimal joint classification rate of 77.5% and misclassification rate of 13.5% was achieved. The performance of algorithm was largely attributed to its ability to recognise locally deformed sea star shapes that were created during the segmentation of the distorted images.

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7 citations in Scopus
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ID Code: 81678
Item Type: Conference Paper
Refereed: Yes
Keywords: Active shape model, Bayesian methods, Image recognition, Image segmentation
DOI: 10.1109/DICTA.2007.4426838
ISBN: 0769530672
Divisions: Current > Schools > School of Earth, Environmental & Biological Sciences
Current > Institutes > Institute for Future Environments
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Copyright Owner: Copyright 2007 IEEE
Deposited On: 08 Feb 2015 23:25
Last Modified: 13 Feb 2015 01:56

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