An image processing approach for estimating the number of live prawn larvae in water

Author

Boles, Wageeh W. ; Geva, S. ; Busch, A.

Author_Institution

Res. Concentration in Speech, Audio, & Video Technol., Queensland Univ. of Technol., Brisbane, Qld., Australia

Volume

2

fYear

1999

fDate

1999

Firstpage

571

Abstract

We address the problem of accurate estimation of prawn larvae numbers in small water-filled containers using image processing techniques. Images of the containers are captured from sampled video signals of a camera suspended over the containers. The images are preprocessed for noise removal and enhancement. The resulting images are then processed to estimate the number of prawn larvae with an acceptable accuracy. Our preliminary results show that estimates of prawn larvae numbers with accuracy of between 90-95% are achievable under controlled conditions. Some issues of system development and practical implementation are discussed

Keywords

aquaculture; image enhancement; image recognition; object detection; video signal processing; enhancement; image processing approach; live prawn larvae; marine hatcheries; noise removal; sampled video signals; water-filled containers; Australia; Cameras; Containers; Glass; Histograms; Image processing; Probability; Signal processing; Speech processing; Statistical distributions;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing and Its Applications, 1999. ISSPA '99. Proceedings of the Fifth International Symposium on

Conference_Location

Brisbane, Qld.

Print_ISBN

1-86435-451-8

Type

conf

DOI

10.1109/ISSPA.1999.815737

Filename

815737