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Intelligent Optical Otolith Classification for Species Recognition of Bony Fish

  • D. Lefkaditis
  • G. J. Awcock
  • R. J. Howlett
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4251)

Abstract

The study of otoliths is an established method of age estimation of bony fish. It can also find interesting applications such as dietary studies by conducting species recognition on otoliths found in the stomach contents of marine animals. Moreover, they could even be sourced from geological sediments or pre-Neolithic archaeological excavations, providing useful data for palaeontology research. This paper presents work in progress to develop an alternative method of optical otolith recognition. This methodology is based on the processing and analysis of images acquired using a stereoscopic microscope fitted with a digital camera. Several configurations of neural networks are tested to conduct species recognition of bony fish.

Keywords

Bony Fish Species Recognition Hide Layer Neuron Spatial Moment Fish Otolith 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • D. Lefkaditis
    • 1
  • G. J. Awcock
    • 1
  • R. J. Howlett
    • 2
  1. 1.Intelligent Systems & Applied Image Processing Research Laboratories, Engineering Research CentreUniversity of BrightonMoulsecoomb, BrightonUK
  2. 2.Fisheries Research InstituteNea Peramos, KavalaGreece

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