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

Journal article


Valeriy G. Narushin, Gang Lu, Cugley, J., Michael N. Romanov and Darren K. Griffin 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 (107112). https://doi.org/10.1016/j.foodcont.2020.107112
AuthorsValeriy G. Narushin, Gang Lu, Cugley, J., Michael N. Romanov and Darren K. Griffin
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 ornitho-
logical, 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 in-
strumental technology and bringing it into the practice of poultry enterprises and hatcheries.

KeywordsEgg quality; Non-destructive measurements; Egg volume; Egg surface area; Digital imaging; Image processing
Year2020
JournalFood Control
Journal citation112 (107112)
PublisherElsevier
ISSN0956-7135
Digital Object Identifier (DOI)https://doi.org/10.1016/j.foodcont.2020.107112
Official URLhttps://www.sciencedirect.com/science/article/pii/S0956713520300281
Publication dates
Print01 Jun 2020
Publication process dates
Deposited04 Jul 2022
Output statusPublished
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https://repository.canterbury.ac.uk/item/9160w/a-2-d-imaging-assisted-geometrical-transformation-method-for-non-destructive-evaluation-of-the-volume-and-surface-area-of-avian-eggs

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