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A novel image-processing based method for the automatic detection, extraction and characterization of marine mammal tonal calls

Published online by Cambridge University Press:  09 July 2009

Antonio Sánchez-García ,
Patricio Muñoz-Esparza  and
José Luis Sancho-Gomez
Antonio Sánchez-García*
Affiliation:
Sociedad Anónima de Electrónica Submarina (SAES), Carretera de la Algameca s/n, 30205-Cartagena (Spain)
Patricio Muñoz-Esparza
Affiliation:
Sociedad Anónima de Electrónica Submarina (SAES), Carretera de la Algameca s/n, 30205-Cartagena (Spain)
José Luis Sancho-Gomez
Affiliation:
Universidad Politécnica de Cartagena, Departamento de Tecnologías de la Información y las Comunicaciones, Campus Muralla del Mar s/n, 30202-Cartagena (Spain)
*
Correspondence should be addressed to: A. Sánchez-García, Sociedad Anónima de Electrónica Submarina (SAES), Carretera de la Algameca s/n, 30205-Cartagena (Spain) email: a.sanchez@electronica-submarina.com
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Abstract

A novel, automatic method for the detection, extraction and characterization of marine mammal tonal calls is presented. Signals are automatically detected from the spectrogram, isolated using region-based segmentation, extracted and finally characterized by means of a fixed number of radial basis function (RBF) coefficients. A total of sixteen RBF coefficients are sufficient to accurately capture the time–frequency information contained in the calls. These coefficients can be later used to classify signals based on their characteristics. New specific functions for contour extraction and cross-resolution have been developed. The performance of the method has been extensively tested using simulated signals and a set of recordings covering a significant range of situations that can be encountered at sea.

Keywords

detectionextractioncharacterizationmarine mammal callregion-based segmentationradial basis functionscontour extractioncross resolution
Type
Research Article
Information
Journal of the Marine Biological Association of the United Kingdom , Volume 90 , Special Issue 8: Marine Mammals , December 2010 , pp. 1667 - 1684
Copyright
Copyright © Marine Biological Association of the United Kingdom 2009

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