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Otolith shape classification for fish stock discrimination

Author
Soria, J.; Nasreddine, Kamal; Parisi, V.; Ferrer-Arnau, Ll.; Benzinou, Abdesslam
Type of activity
Presentation of work at congresses
Name of edition
2014 First International Image Processing, Applications and Systems Conference (IPAS)
Date of publication
2014
Presentation's date
2014-11-07
Book of congress proceedings
2014 First International Image Processing, Applications and Systems Conference (IPAS): procedings
First page
1
Last page
5
DOI
https://doi.org/10.1109/IPAS.2014.7043302 Open in new window
Repository
http://hdl.handle.net/2117/26504 Open in new window
URL
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7043302&isnumber=7043254 Open in new window
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 glob...
Citation
Soria, 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.
Keywords
Accuracy, Aquaculture, Biology, Europe, Feature extraction, Robustness, Shape
Group of research
DISEN - Distributed Sensor Networks
Electromagnetic Compatibility (EMC); Widebandgap (WBG); Internal Activity; Feature Selective Validation (FSV); Spread Spectrum modulation; Reliability; Multilevel Converters; Fault detection;
PERC-UPC - Power Electronics Research Centre
SARTI - Technological Development Center for Remote Acquisition and Data Processing System

Participants