Journal article
A new method for accurate, high-throughput volume estimation from three 2D projective images
International Journal of Food Properties, Vol.20(10), pp.2344-2357
2016
Abstract
In this article, a new method for estimating the volume of selected fruits and vegetables, using information obtained from three orthogonal images of the object is proposed. The method was based on a novel lower bound on this volume, combined with an application of a well-known upper bound. The lower bound was obtained by calculating the volume of an artificial object created from the intersection of the three object silhouettes. The method was applied to a significant range of food products and simple geometric objects, and it was found that the method estimated volume with approximately 11.9% error, generally, and 2%, for rounded objects, specifically.
Details
- Title
- A new method for accurate, high-throughput volume estimation from three 2D projective images
- Authors/Creators
- J. Chopin (Author/Creator) - University of South AustraliaH. Laga (Author/Creator) - University of South AustraliaS.J. Miklavcic (Author/Creator) - University of South Australia
- Publication Details
- International Journal of Food Properties, Vol.20(10), pp.2344-2357
- Publisher
- Taylor & Francis
- Identifiers
- 991005540134007891
- Murdoch Affiliation
- School of Engineering and Information Technology
- Language
- English
- Resource Type
- Journal article
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- Domestic collaboration
- Citation topics
- 2 Chemistry
- 2.244 Chemometrics
- 2.244.499 NIR Spectroscopy
- Web Of Science research areas
- Food Science & Technology
- ESI research areas
- Agricultural Sciences