Development of an in situ zooplankton identification and counting system based on local auto-correlational masks

Author

Akiba, Tatsuro ; Kakui, Yoshimi

Author_Institution

Electrotech. Lab., Hyogo, Japan

Volume

1

fYear

1997

fDate

6-9 Oct 1997

Firstpage

655

Abstract

The authors propose a versatile and inexpensive technology for the identification and counting of plankton. The combination of local auto-correlational masks (LACMs) and discrimination analysis, which is a two-step feature extraction, is a powerful tool in the extraction of general information from images. The performance of LACMs had been investigated for the purpose of identification of zooplankton. Proof of the principle experiments was performed with images of preserved plankton under a conventional microscope. The accuracy of discrimination between any two taxa was more than 90%. The design and specifications of the submersible microscope are also presented

Keywords

aquaculture; biological techniques; biology computing; feature extraction; geophysical signal processing; geophysics computing; image classification; image processing; image recognition; oceanographic equipment; oceanographic techniques; zoology; LACM; counting system; discrimination analysis; equipment; image processing; in situ identification; instrument; local auto-correlational mask; local autocorrelation mask; marine animal; marine biology; measurement technique; ocean; optical method; plankton; species identification; taxa; taxonomy; two-step feature extraction; zooplankton; Ecosystems; Fluorescence; Image analysis; Image databases; Laboratories; Marine vegetation; Microscopy; Sampling methods; Sea measurements; Size measurement;

fLanguage

English

Publisher

ieee

Conference_Titel

OCEANS '97. MTS/IEEE Conference Proceedings

Conference_Location

Halifax, NS

Print_ISBN

0-7803-4108-2

Type

conf

DOI

10.1109/OCEANS.1997.634443

Filename

634443