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RESEARCH ARTICLE
Contents Vol 56(5)

Otolith shape feature extraction oriented to automatic classification with open distributed data

J. Piera A B E , V. Parisi-Baradad C , E. García-Ladona D , A. Lombarte D , L. Recasens D and J. Cabestany C
+ Author Affiliations
- Author Affiliations

A Marine Technology Unit (CMIMA-CSIC), Passeig Marítim 37-49, Barcelona 08003, Catalonia, Spain.

B Signal Theory and Communications Department, Universitat Politècnica de Catalunya (UPC), Av Canal Olímpic s/n, Castelldefels 08860, Barcelona, Catalonia, Spain.

C Electronic Engineering Department, Universitat Politècnica de Catalunya (UPC), Gran Capità, s/n, module C4, Campus Nord. Barcelona 08034, Catalonia, Spain.

D Institut de Ciències del Mar (CMIMA-CSIC), Passeig Marítim 37-49, Barcelona 08003, Catalonia, Spain.

E Corresponding author. Email: jpiera@tsc.upc.es

Marine and Freshwater Research 56(5) 805-814 https://doi.org/10.1071/MF04163
Submitted: 16 July 2004  Accepted: 11 March 2005   Published: 21 July 2005

Abstract

The present study reviewed some of the critical pre-processing steps required for otolith shape characterisation for automatic classification with heterogeneous distributed data. A common procedure for optimising automatic classification is to apply data pre-processing in order to reduce the dimension of vector inputs. One of the key aspects of these pre-processing methods is the type of codification method used for describing the otolith contour. Two types of codification methods (Cartesian and Polar) were evaluated, and the limitations (loss of information) and the benefits (invariance to affine transformations) associated with each method were pointed out. The comparative study was developed using four types of shape descriptors (morphological, statistical, spectral and multiscale), and focused on data codification techniques and their effects on extracting shape features for automatic classification. A new method derived from the Karhunen–Loève transformation was proposed as the main procedure for standardising the codification of the otolith contours.

Extra keywords: image processing, shape characterisation, shape descriptors.


Acknowledgments

The present study was funded by the IBACS project (European Union Project QLRT-2001-01610), by the Spanish project AVG-ION (McyT-TIC2000-0376-p4-04) from the Spanish Ministry of Science and Technology and by the IBACS European project. We would like to thank Antoni Cruz for his contribution in acquiring some of the otolith images processed, and Albert Martí for developing some of the required function routines. Remarks by two anonymous reviewers led to substantial improvements in the manuscript; they are thanked for their careful and constructive comments.


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