Automatic morphological detection of otolith nucleus

Authors:
Frédéric Cao;Ronan Fablet
Affiliations:
INRIA/IRISA, Campus de Beaulieu, 35042 Rennes Cedex, France;IFREMER/LASAA, BP 70, 29280 Plouzane, France
Venue:
Pattern Recognition Letters
Year:
2006

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Abstract

This paper deals with the automation of the acquisition of age and growth data from the analysis of otolith images. One of the key component of such a system is the automatic detection of the growth center, which serves as the basis for further processing (2D ring segmentation, age and growth estimation,...). To this end, we develop a new and well-founded approach combining a morphological analysis of image level sets to the a contrario detection principle. This approach leads to a robust parameterless scheme, whose efficiency is demonstrated by an evaluation carried out for a set of several hundred of plaice otoliths.