Abstract
In this paper we analyze the characteristics of an experimental otolith identification system based on image contours described with Elliptical Fourier Descriptors (EFD). Otoliths are found in the inner ear of fishes. They are formed by calcium carbonate crystals and organic materials of proteic origin. Fish otolith shape analysis can be used for sex, age, population and species identification studies, and can provide necessary and relevant information for ecological studies. The system we propose has been tested for the identification of three different species, Engraulis encrasicholus, Pomadasys incisus belonging to the different families (Engroulidae and Haemolidae), and two populations of the species Merluccius merluccius (from CAT and GAL) from the family Merlucciidae. The identification of species from different families could be carried out quite easily with some simple class identifiers -i.e based on Support Vector Machine (SVM) with linear Kernel-; however, to identify these two populations that are characterized by a high similarity in their global form; a more accurate, and detailed shape representation of the otoliths are required, and at the same time the Otolith identifiers have to deal with a bigger number of descriptors. That is the principal reason that makes a challenging task both the design and the training of an otolith identification system, with a good performance on both cases.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Abidi, M.A., Gonzalez, R.C.: Shape Decomposition Using Elliptic Fourier Descriptors. In: Proc. 18th IEEE Southeast Sympo. Sys. Theory, Knoxvlle, TN USA, pp. 53–61 (1986)
Bird, J.L., Eppler, D.T., Checkley, D.M.: Comparisons of herring otoliths using Fourier-series shape-analysis. Can. J. Fish. Aquat. Sci. 43(6), 1228–1234 (1986)
Burges, C.: A Tutorial on Support Vector Machines for Pattern Recognition. Data Mining and Knowledge Discovery 2, 121–167 (1998)
Campana, S.E., Casselman, J.M.: Stock discrimination using otolith shape analysis. Can. J. Fish. Aquat. Sci. 50, 1062–1083 (1993)
Casselman, J.M., Collins, J.J., Crossman, E.J., Ihssen, P.E., Spangler, G.R.: Lake whitefish (Coregonus clupeaformis) stocks of the Ontario waters of Lake Huron. Can. J. Fish. Aquat. Sci. 38, 1772–1789 (1981)
Chen, S.Y.Y., Lestrel, P.E., Kerr, W.J.S., McColl, J.H.: Describing shape changes in the human mandible using elliptical Fourier functions. Eur. J. Orthodont. 22, 205–216 (2000)
Cooley, J.W., Tukey, J.W.: An Algorithm for the Machine Calculation of Complex Fourier Series. Math. Computat. 19, 297–301 (1965)
Iwata, H., Ukai, Y.: SHAPE: a computer program package for quantitative evaluation of biological shapes based on elliptic Fourier descriptors. J. Hered. 93, 384–385 (2002)
Kuhl, F.P., Giardina, C.R.: Elliptic Fourier features of a closed contour. Comput. Graph. Image Process. 18, 236–258 (1982)
Lombarte, A., Torres, G.J., Morales-Nin, B.: Specific Merluccius otolith growth patterns related to phylogenetics and environmental. J. Mar. Biol. Ass. U.K. 83, 277–281 (2003)
Lombarte, A., Chic, O., Parisi-Baradad, V., Olivella, R., Piera, J., García-Ladona, E.: A web-based environment for shape analysis of fish otoliths. The AFORO database. SCI. MAR. 70(1), 147–152 (2006)
Parisi-Baradad, V., Lombarte, A., García-Ladona, E., Cabestany, J., Piera, J., Chic, Ò.: Otolith shape contour analysis using affine transformation invariant wavelet transforms and curvature scale space representation. Mar. Freshw. Res. 56, 795–804 (2005)
Proakis, J.G., Manolakis, D.G.: Digital Signal Processing, 4th edn. Pearsons Education (2007)
Rosenfeld, A., Pfaltz, J.L.: Distance functions on digital pictures. Pattern Recognition 1(1), 33–61 (1968)
Serra, J.: Image Analysis and Mathematical Morphology. Academic Press, New York (1982)
Tracey, S.R., Lyle, J.M., Duhamelb, G.: Application of elliptical Fourier analysis of otolith form as a tool for stock identification. Fisheries Research 77, 138–147 (2006)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2010 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Reig-Bolaño, R., Marti-Puig, P., Rodriguez, S., Bajo, J., Parisi-Baradad, V., Lombarte, A. (2010). Otoliths Identifiers Using Image Contours EFD. In: de Leon F. de Carvalho, A.P., Rodríguez-González, S., De Paz Santana, J.F., Rodríguez, J.M.C. (eds) Distributed Computing and Artificial Intelligence. Advances in Intelligent and Soft Computing, vol 79. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14883-5_2
Download citation
DOI: https://doi.org/10.1007/978-3-642-14883-5_2
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-14882-8
Online ISBN: 978-3-642-14883-5
eBook Packages: EngineeringEngineering (R0)