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A new method for accurate, high-throughput volume estimation from three 2D projective images

Chopin, J., Laga, H.ORCID: 0000-0002-4758-7510 and Miklavcic, S.J. (2016) A new method for accurate, high-throughput volume estimation from three 2D projective images. International Journal of Food Properties, 20 (10). pp. 2344-2357.

Link to Published Version: http://dx.doi.org/10.1080/10942912.2016.1236814
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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.

Item Type: Journal Article
Murdoch Affiliation: School of Engineering and Information Technology
Publisher: Taylor & Francis
URI: http://researchrepository.murdoch.edu.au/id/eprint/35499
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