A web-based environment for shape analysis of fish otoliths. The AFORO database

We present an automatic system for describing and identifying fish otolith shapes combining information technologies with modern advances in signal analysis. As a major novelty with respect to past studies the system includes wavelets (WT) and curvature space scale (CSS) analyses that have been show...

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Bibliographic Details
Published inScientia marina Vol. 70; no. 1; pp. 147 - 152
Main Authors Lombarte, Antoni, Chic, Òscar, Parisi-Baradad, Vicenç, Olivella, Roger, Piera, Jaume, García-Ladona, Emilio
Format Journal Article
LanguageEnglish
Published Consejo Superior de Investigaciones Científicas 01.03.2006
Subjects
curvature scale space
fourier
Marine
otolith
Pisces
shape analysis
wavelets
MED
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Summary:We present an automatic system for describing and identifying fish otolith shapes combining information technologies with modern advances in signal analysis. As a major novelty with respect to past studies the system includes wavelets (WT) and curvature space scale (CSS) analyses that have been shown to provide local morphologic information and characteristics (landmarks) of the sagitta otolith outline for non-specialists. By applying this electronic catalogue directly the system is very helpful for determining teleostean fish size, population and species. Both the electronic catalogue and the shape analysis are implemented through the AFORO database, which at present contains more than 1250 high resolution images of the left sagitta from 292 species and 94 families of teleostan fishes sampled mainly in Mediterranean and Antarctic waters.
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ISSN:0214-8358
1886-8134
DOI:10.3989/scimar.2006.70n1147