Population studies of fish depend upon correct age estimates. However
ageing from otoliths is often a subjective activity, based on experien
ce. To produce more objective and reproducible results, image analysis
systems for semi-automatic otolith reading are being developed. We pr
opose determinig the daily growth and annual structures in each otolit
h by means of Fourier analysis of the luminous signal, after filtering
the high frequencies by means of a moving threshold. A new approach u
sing spatio-frequential wavelet analysis is discussed for otolith age
determination. The different readings of each otolith are standardised
and weighted to obtain a combined age determination and vector of inc
rement widths.