Automatic morphological detection of otolith nucleus

Frédéric Cao (1) , Patrick Bouthemy (1) , Ronan Fablet (2, 3)

1 IRISA - Institut de Recherche en Informatique et Systèmes Aléatoires
2 SC - Département Signal et Communications
3 IFREMER - Institut Français de Recherche pour l'Exploitation de la Mer

This paper deals with the analysis of otolith images for fish ageing issues. We present a new and well-founded approach for the automatic detection of the nucleus within otolith images. This topic is of key interest since the knowledge of the location of the otolith nucleus is required to achieve further processing (2D ring segmentation, age and growth estimation, ...). Using morphological features within an a contrario framework, we develop a robust parameterless scheme. Its efficiency is demonstrated by an evaluation carried out for a set of several hundred of plaice otoliths.

Domaines: Traitement du signal et de l'image [eess.SP]

Frédéric Cao, Patrick Bouthemy, Ronan Fablet. Automatic morphological detection of otolith nucleus. ICPR 2004 : 17th International Conference on Pattern Recognition, Aug 2004, Cambridge, United Kingdom. pp.606 - 609, ⟨10.1109/ICPR.2004.1334602⟩. ⟨hal-02341789⟩