Measuring the density of dingo teeth with machine vision
Article
Billingsley, John and Withers, Kerry. 2004. "Measuring the density of dingo teeth with machine vision." Sensor Review. 24 (4), pp. 361-363. https://doi.org/10.1108/02602280410558386
Article Title | Measuring the density of dingo teeth with machine vision |
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Article Category | Article |
Authors | Billingsley, John (Author) and Withers, Kerry (Author) |
Journal Title | Sensor Review |
Journal Citation | 24 (4), pp. 361-363 |
Number of Pages | 3 |
Year | 2004 |
Place of Publication | Bingley, WYorks. United Kingdom |
Digital Object Identifier (DOI) | https://doi.org/10.1108/02602280410558386 |
Web Address (URL) | https://www.emerald.com/insight/content/doi/10.1108/02602280410558386/full/html |
Abstract | Collaboration between a mechatronics engineer and a biologist resulted in an unlikely application of machine vision. To deduce the density of the porous teeth, the volume had to be found. An expedient method was constructed for scanning the teeth before they had to be returned to their source and a simple method was derived for deducing their volume. |
Keywords | body systems and organs; ageing (biology); optical instruments; sensors; dingoes |
ANZSRC Field of Research 2020 | 460304. Computer vision |
310999. Zoology not elsewhere classified | |
511099. Synchrotrons and accelerators not elsewhere classified | |
Public Notes | File reproduced in accordance with the copyright policy of the publisher/author. |
Byline Affiliations | Department of Mechanical and Mechatronic Engineering |
Centre for Systems Biology |
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