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A 2-D imaging-assisted geometrical transformation method for non-destructive evaluation of the volume and surface area of avian eggs

Narushin, Valeriy G., Lu, Gang, Cugley, James, Romanov, Michael N, Griffin, Darren K. (2020) A 2-D imaging-assisted geometrical transformation method for non-destructive evaluation of the volume and surface area of avian eggs. Food Control, 112 . Article Number 107112. ISSN 0956-7135. (doi:10.1016/j.foodcont.2020.107112) (KAR id:79615)

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https://doi.org/10.1016/j.foodcont.2020.107112

Abstract

Egg volume and surface area are reliable predictors of quality traits for both table and hatching chicken eggs. A new non-destructive technique for the fast and accurate evaluation of these two egg variables is addressed in the present study. The proposed method is based on the geometrical transformation of actual egg contour into a well-known geometrical figure which shape most of all resembles the examined egg. The volume and surface area of an examined egg were recomputed using the formulae appropriate for three figures including sphere, ellipsoid, and egg-shape ovoid. The method of the geometrical transformation includes the measurements of the egg length and the area of the examined eggs. These variables were determined using two-dimensional (2-D) digital imaging and image processing techniques. The geometrical transformation approach is proven to be reliable to turn the studied chicken eggs into the three chosen ovoid models, with the best prediction being shown for the ellipsoid and egg-shape ovoid, whilst the former was slightly more preferable. Depending on the avian species studied, we hypothesise that it would be more suitable to use the sphere model for more round shaped eggs and the egg-shaped ovoid model if the examined eggs are more conical. The choice of the proposed transformation technique would be applicable not only for the needs of poultry industry but also in ornithological, basically zoological studies when handling the varieties of eggs of different shapes. The experimental results show that the method proposed is accurate, reliable, robust and fast when coupled and assisted with the digital imaging and image processing techniques, and can serve as a basis for developing an appropriate instrumental technology and bringing it into the practice of poultry enterprises and hatcheries.

Item Type: Article
DOI/Identification number: 10.1016/j.foodcont.2020.107112
Projects: [UNSPECIFIED] Toward an Instrumental Technology for Non-invasive Evaluation of Volume and Surface Area of Avian Eggs: Knowledge Transfer to Support Ukraine’s Poultry Industry
Uncontrolled keywords: Egg quality; Non-destructive measurements; Egg volume; Egg surface area; Digital imaging; Image processing
Subjects: Q Science > QH Natural history > QH324.2 Computational biology
S Agriculture > SF Animal culture
T Technology > TA Engineering (General). Civil engineering (General) > TA1637 Image processing
Divisions: Divisions > Division of Natural Sciences > School of Biosciences
Signature Themes: Food Systems, Natural Resources and Environment
Depositing User: Mike Romanov
Date Deposited: 17 Jan 2020 23:39 UTC
Last Modified: 14 Jul 2021 11:54 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/79615 (The current URI for this page, for reference purposes)
Narushin, Valeriy G.: https://orcid.org/0000-0001-6799-6605
Lu, Gang: https://orcid.org/0000-0002-9093-6448
Romanov, Michael N: https://orcid.org/0000-0003-3584-4644
Griffin, Darren K.: https://orcid.org/0000-0001-7595-3226
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