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| Mahe, Kelig; Parisi, Vincenc; Carbini, Sebastien; Soria, J.a.; Harbitz, A; De Pontual, Helene; Cotano, U; Songer, S; Millner, R; Lewy, P; Gudmundsson, E.f; Fablet, Ronan; Benzinou, Abdesslam. |
| Most of the fish stocks are assessed using age-based models, however age estimations using otoliths costs several million euros annually. In this context, Automatic Fish Ageing (EU Project) would provide means to standardize ageing among laboratories and build interpreted image databases ensuring the information conservation. Automation improves growth studies while reducing the cost of the acquisition of age data. The whole processing chain from the acquisition of otolith data to the actual ageing issue using pattern recognition or statistical inference has been realised for three case studies : a) Cod (Gadus morhua ; Faeroes, North Sea, North East Arctic) b) Anchovy (Engraulis encrasicolus ; Bay of Biscay) c) Plaice (Pleuronectes platessa, Eastern... |
| Tipo: Text |
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| Ano: 2009 |
URL: http://archimer.ifremer.fr/doc/00011/12270/10548.pdf |
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