Otolith shape classification for fish stock discrimination
Visualitza/Obre
otolithshape.pdf (1022,Kb) (Accés restringit)
Sol·licita una còpia a l'autor
Què és aquest botó?
Aquest botó permet demanar una còpia d'un document restringit a l'autor. Es mostra quan:
- Disposem del correu electrònic de l'autor
- El document té una mida inferior a 20 Mb
- Es tracta d'un document d'accés restringit per decisió de l'autor o d'un document d'accés restringit per política de l'editorial
Cita com:
hdl:2117/26504
Tipus de documentText en actes de congrés
Data publicació2014
Condicions d'accésAccés restringit per política de l'editorial
Tots els drets reservats. Aquesta obra està protegida pels drets de propietat intel·lectual i
industrial corresponents. Sense perjudici de les exempcions legals existents, queda prohibida la seva
reproducció, distribució, comunicació pública o transformació sense l'autorització del titular dels drets
Abstract
The shape analysis of otoliths, which are calcified
structures in the inner ear of teleostean fishes, is known to be
particularly relevant to address species identification and stock
discrimination. Generally, scientists use classical methodologies
of statistical analysis and shape recognition such as Fourier
shape descriptors and Principal Component Analysis (PCA).
These methods are subject to several limitations mainly to their
incapacity to locate irregularities because they are based on global
characterization of shape. Recently, more advanced techniques
are proposed in this context in order to improve classification
accuracies. The first recent method exploits the potential of shape
geodesics which rely on local shape features for classification
issues. The second one addresses the Best-Basis paradigm which
combines the Wavelet Transform, and the potential of statistical
analysis in order to fully automate the selection process of efficient
features for classification. These methods have been shown to
significantly outperform the standard approaches but they are not
compared together yet. This study compare these two methods on
a real dataset. The comparison is performed on
600
striped red
mullet calcified structures collected for the NESPMAN European
project. For each method, performances are reported for the
classification of samples coming from three geographical zones
in the Northwest European seas: the Bay of Biscay, a mixing zone
composed of the Celtic Sea and the Western English Channel and
a northern zone composed of the Eastern English Channel and
the North Sea. Comparison shows that both methods lead to same
conclusions.
CitacióSoria, J. [et al.]. Otolith shape classification for fish stock discrimination. A: International Image Processing, Applications and Systems Conference. "2014 First International Image Processing, Applications and Systems Conference (IPAS): procedings". Hammamet: 2014, p. 1-5.
ISBN978-1-4799-7068-1
Col·leccions
Fitxers | Descripció | Mida | Format | Visualitza |
---|---|---|---|---|
otolithshape.pdf | 1022,Kb | Accés restringit |