Share Email Print

Journal of Electronic Imaging

Fish detection and classification system
Author(s): Richard A. Tidd; Joseph Wilder
Format Member Price Non-Member Price
PDF $20.00 $25.00

Paper Abstract

Marine biologists traditionally determine the presence and quantities of different types of fish by dragging nets across the bottom, and examining their contents. This method, although accurate, kills the collected fish, damages their habitat, and consumes large quantities of resources. This paper presents an alternative, a machine vision system capable of determining the presence of fish species. Illumination presents a unique problem in this environment, and the design of an effective illumination system is discussed. The related issues of object orientation and measurement are also discussed and resolved. Capturing images of fish in murky water also presents challenges. An adaptive thresholding technique is required to appropriately segment the fish from the background in these images. Mode detection, and histogram analysis are useful tools in determining these localized thresholds. It is anticipated that this system, created in conjunction with the Rutgers Institute for Marine and Coastal Science, will effectively classify fish in the estuarine environment.

Paper Details

Date Published: 1 January 2001
PDF: 6 pages
J. Electron. Imag. 10(1) doi: 10.1117/1.1329338
Published in: Journal of Electronic Imaging Volume 10, Issue 1
Show Author Affiliations
Richard A. Tidd, Rutgers Univ. (United States)
Joseph Wilder, Rutgers Univ. (United States)

© SPIE. Terms of Use
Back to Top