Loading...
Loading...

Go to the content (press return)

Best-basis development towards the automatical detection of otolith irregularities in fishes

Author
Soria, J.; Parisi, V.
Type of activity
Presentation of work at congresses
Name of edition
7th International Conference on Next Generation Web Services Practices
Date of publication
2011
Presentation's date
2011-10
Book of congress proceedings
7th IEEE International Conference on Next Generation Web Services Practices: proceedings
First page
332
Last page
337
DOI
https://doi.org/10.1109/NWeSP.2011.6088200 Open in new window
Repository
http://hdl.handle.net/2117/14246 Open in new window
URL
http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6088200&tag=1 Open in new window
Abstract
The 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 matt...
Citation
Soria, 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.
Group of research
DISEN - Distributed Sensor Networks
SARTI - Technological Development Center for Remote Acquisition and Data Processing System

Participants