Please use this identifier to cite or link to this item:
logo share SHARE BASE
Visualizar otros formatos: MARC | Dublin Core | RDF | ORE | MODS | METS | DIDL | DATACITE

Local discriminant bases representation and non linear growth processing for species classification and age estimation of fish based on otolith images

AuthorsSoria, J.A.; Lombarte, Antoni CSIC ORCID ; Parisi-Baradad, Vicenç CSIC
Issue Date2008
PublisherInstitute of Electrical and Electronics Engineers
CitationOCEANS 2008 - MTS/IEEE Kobe Techno-Ocean: 312-317 (2008)
AbstractIn computer based fish identification from otolith images, recent techniques such as Curvature Scale Space (CCS) and Wavelets have been used to locate the position of singular feautures. On the other hand, automated fish ageing methods use Fourier Transform (FT), Principal Component Analysis (PCA) or Peak Based Representation (PBR) to enhance classifier performance. In this work we use the Local Discriminant Bases algorithm (LDB). In ageing applications, is necessary to employ an optimization method to demodulate growth effects before using the LDB. LDB can also be used for fish identification after filtering and resampling the otolith contour. The proposed methods have been tested with otolith contours from a web-base database and with images of cod otolith sections. In both cases results show that only a few bases are needed to represent class features accurately.
Description6 pages, 9 figures
Publisher version (URL)
Appears in Collections:(ICM) Libros y partes de libros

Show full item record
Review this work

Page view(s)

checked on May 24, 2022

Google ScholarTM




WARNING: Items in Digital.CSIC are protected by copyright, with all rights reserved, unless otherwise indicated.