- -

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

RiuNet: Institutional repository of the Polithecnic University of Valencia

Share/Send to

Cited by

Statistics

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

Show full item record

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. doi:10.3390/s16101735

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/92408

Files in this item

Item Metadata

Title: Predicting Gilthead Sea Bream (Sparus aurata) Freshness by a Novel Combined Technique of 3D Imaging and SW-NIR Spectral Analysis
Author:
UPV Unit: 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
Issued date:
Abstract:
[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 ...[+]
Subjects: Hyperspectral imaging , 3D segmentation , 3D structured light , SW-NIR , Fish freshness
Copyrigths: Reconocimiento (by)
Source:
Sensors. (issn: 1424-8220 )
DOI: 10.3390/s16101735
Publisher:
MDPI AG
Publisher version: http://doi.org/10.3390/s16101735
Thanks:
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 ...[+]
Type: Artículo

This item appears in the following Collection(s)

Show full item record