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Sensors 2016, 16(10), 1735; doi:10.3390/s16101735

Predicting Gilthead Sea Bream (Sparus aurata) Freshness by a Novel Combined Technique of 3D Imaging and SW-NIR Spectral Analysis

1
Departamento de Ingeniería de Sistemas y Automática, Universidad Politècnica de València, Valencia 46022, Spain
2
Departamento de Tecnología de Alimentos, Universidad Politècnica de València, Valencia 46022, Spain
*
Author to whom correspondence should be addressed.
Academic Editor: Monica Florescu
Received: 7 July 2016 / Revised: 29 September 2016 / Accepted: 13 October 2016 / Published: 19 October 2016
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Abstract

A technique that combines the spatial resolution of a 3D structured-light (SL) imaging system with the spectral analysis of a hyperspectral short-wave near infrared system was developed for freshness predictions of gilthead sea bream on the first storage days (Days 0–6). This novel approach allows the hyperspectral analysis of very specific fish areas, which provides more information for freshness estimations. The SL system obtains a 3D reconstruction of fish, and an automatic method locates gilthead’s pupils and irises. Once these regions are positioned, the hyperspectral camera acquires spectral information and a multivariate statistical study is done. The best region is the pupil with an R2 of 0.92 and an RMSE of 0.651 for predictions. We conclude that the combination of 3D technology with the hyperspectral analysis offers plenty of potential and is a very promising technique to non destructively predict gilthead freshness. View Full-Text
Keywords: hyperspectral imaging; 3D segmentation; 3D structured light; SW-NIR; fish freshness hyperspectral imaging; 3D segmentation; 3D structured light; SW-NIR; fish freshness
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Ivorra, E.; Verdu, S.; Sánchez, A.J.; Grau, R.; Barat, J.M. Predicting Gilthead Sea Bream (Sparus aurata) Freshness by a Novel Combined Technique of 3D Imaging and SW-NIR Spectral Analysis. Sensors 2016, 16, 1735.

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