Ivorra Martínez, E.; Verdú Amat, S.; Sánchez Salmerón, AJ.; Grau Meló, R.; Barat Baviera, JM. (2016). Predicting Gilthead Sea Bream (Sparus aurata) Freshness by a Novel Combined Technique of 3D Imaging and SW-NIR Spectral Analysis. Sensors. 16(10):1-14. https://doi.org/10.3390/s16101735
Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/92408
Title:
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Predicting Gilthead Sea Bream (Sparus aurata) Freshness by a Novel Combined Technique of 3D Imaging and SW-NIR Spectral Analysis
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Author:
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Ivorra Martínez, Eugenio
Verdú Amat, Samuel
Sánchez Salmerón, Antonio José
Grau Meló, Raúl
Barat Baviera, José Manuel
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UPV Unit:
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Universitat Politècnica de València. Departamento de Tecnología de Alimentos - Departament de Tecnologia d'Aliments
Universitat Politècnica de València. Departamento de Ingeniería de Sistemas y Automática - Departament d'Enginyeria de Sistemes i Automàtica
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Issued date:
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Abstract:
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[EN] 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 ...[+]
[EN] 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.
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Subjects:
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Hyperspectral imaging
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3D segmentation
,
3D structured light
,
SW-NIR
,
Fish freshness
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Copyrigths:
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Reconocimiento (by)
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Source:
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Sensors. (issn:
1424-8220
)
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DOI:
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10.3390/s16101735
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Publisher:
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MDPI AG
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Publisher version:
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http://doi.org/10.3390/s16101735
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Project ID:
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info:eu-repo/grantAgreement/MINECO//RTA2012-00062-C04-02/ES/Nuevas técnicas de manipulación usando sensorización integrada para la estimación de propiedades y determinación automática de la calidad y sanidad de la producción agroalimentaria en líneas de inspección y manipulación (MANI-DACSA)/
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Thanks:
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This work has been partially funded by the Instituto Nacional de Investigacion y Tecnologia Agraria y Alimentaria de Espana (INIA Spanish National Institute for Agriculture and Food Research and Technology) through research ...[+]
This work has been partially funded by the Instituto Nacional de Investigacion y Tecnologia Agraria y Alimentaria de Espana (INIA Spanish National Institute for Agriculture and Food Research and Technology) through research project RTA2012-00062-004-02, supported by European FEDER funds.
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Type:
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Artículo
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