Please use this identifier to cite or link to this item: http://hdl.handle.net/10261/28459
Share/Impact:
Título : Otolith shape contour analysis using affine transformation invariant wavelet transforms and curvature scale space representation
Autor : Parisi-Baradad, Vicenç, Lombarte, Antoni, García-Ladona, Emilio, Cabestany, J., Piera, Jaume, Chic, Óscar
Palabras clave : curvature scale space
fish otolith
Fourier harmonic
shape analysis
wavelet transform
Fecha de publicación : 2005
Editor: CSIRO Publishing
Citación : Marine and Freshwater Research 56(5) 795–804 (2005)
Resumen: Fish otolith morphology has been closely related to landmark selection in order to establish the most discriminating points that can help to differentiate or find common characteristics in sets of otolith images. Fourier analysis has traditionally been used to represent otolith images, since it can reconstruct a version of the contour that is close to the original by choosing a reduced set of harmonic terms. However, it is difficult to locate the contour’s singularities from this spectrum. As an alternative, wavelet transform and curvature scale space representation allow us to quantify the irregularities of the contour and determine its precise position. These properties make these techniques suitable for pattern recognition purposes, ageing, stock determination and species identification studies. In the present study both techniques are applied and used in an otolith classification system that shows robustness against affine image transformations, shears and the presence of noise. The results are interpreted and discussed in relation to traditional morphology studies.
Descripción : 10 pages, 9 figures, 3 tables
Versión del editor: http://dx.doi.org/10.1071/MF04162
URI : http://hdl.handle.net/10261/28459
ISSN: 1323-1650
DOI: 10.1071/MF04162
Citación : Marine and Freshwater Research 56(5) 795–804 (2005)
Appears in Collections:(ICM) Artículos

Files in This Item:
There are no files associated with this item.
Show full item record
 
CSIC SFX LinksSFX Query


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