Show simple item record

dc.contributor.authorSoria Pérez, José Antonio
dc.contributor.authorParisi Baradad, Vicenç
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Enginyeria Electrònica
dc.date.accessioned2011-12-14T12:59:50Z
dc.date.available2011-12-14T12:59:50Z
dc.date.created2011
dc.date.issued2011
dc.identifier.citationSoria, J.; Parisi, V. Best-basis development towards the automatical detection of otolith irregularities in fishes. A: International Conference on Next Generation Web Services Practices. "7th International Conference on Next Generation Web Services Practices". Salamanca: 2011, p. 332-337.
dc.identifier.urihttp://hdl.handle.net/2117/14246
dc.description.abstractThe application of feature extraction methodologies and the detection of patterns in sagitae otoliths, which are calcified structures in the inner ear of teleostean fishes, has lead to great knowledge of marine biology during the last decades in order to manage and control its sustainability. A main limitation of the use of statistical analysis and Fourier methods rely on their incapacity to locate irregularities and explain them from a more structural, or even physical, point of view. This matter has been addressed recently by means of the Best-Basis paradigm which combines robust description methods, such as the Wavelet Transform, and the potential of statistical analysis in order to fully automate the selection process of efficient features. This paper is an attempt to readdress this paradigm towards this goal and contrasts other standard tools used in the field of otolith-based fish recognition. The proposed strategy involves the estimation of class distributions, discriminant measures and the search in the feature space.
dc.format.extent6 p.
dc.language.isoeng
dc.subjectÀrees temàtiques de la UPC::Enginyeria de la telecomunicació::Processament del senyal::Processament de la imatge i del senyal vídeo
dc.subjectÀrees temàtiques de la UPC::Enginyeria agroalimentària::Ciències de la terra i de la vida::Biologia
dc.subjectÀrees temàtiques de la UPC::Informàtica::Sistemes d'informació::Bases de dades
dc.subject.lcshOtoliths
dc.subject.lcshForm perception--Data processing
dc.subject.lcshWavelets (Mathematics)--Data processing
dc.subject.lcshDiscriminant analysis--Data processing
dc.subject.lcshMarine biology
dc.titleBest-basis development towards the automatical detection of otolith irregularities in fishes
dc.typeConference report
dc.subject.lemacOtòlits
dc.subject.lemacImatges -- Processament
dc.subject.lemacWavelets (Matemàtica)
dc.subject.lemacBases de dades -- Gestió
dc.contributor.groupUniversitat Politècnica de Catalunya. AHA - Arquitectures Hardware Avançades
dc.identifier.doi10.1109/NWeSP.2011.6088200
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttp://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6088200&tag=1
dc.rights.accessRestricted access - publisher's policy
local.identifier.drac8786030
dc.description.versionPostprint (published version)
local.citation.authorSoria, J.; Parisi, V.
local.citation.contributorInternational Conference on Next Generation Web Services Practices
local.citation.pubplaceSalamanca
local.citation.publicationName7th International Conference on Next Generation Web Services Practices
local.citation.startingPage332
local.citation.endingPage337


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record

All rights reserved. This work is protected by the corresponding intellectual and industrial property rights. Without prejudice to any existing legal exemptions, reproduction, distribution, public communication or transformation of this work are prohibited without permission of the copyright holder