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Proceedings Paper

Contour matching for a fish recognition and migration-monitoring system
Author(s): Dah-Jye Lee; Robert B. Schoenberger; Dennis Shiozawa; Xiaoqian Xu; Pengcheng Zhan
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Paper Abstract

Fish migration is being monitored year round to provide valuable information for the study of behavioral responses of fish to environmental variations. However, currently all monitoring is done by human observers. An automatic fish recognition and migration monitoring system is more efficient and can provide more accurate data. Such a system includes automatic fish image acquisition, contour extraction, fish categorization, and data storage. Shape is a very important characteristic and shape analysis and shape matching are studied for fish recognition. Previous work focused on finding critical landmark points on fish shape using curvature function analysis. Fish recognition based on landmark points has shown satisfying results. However, the main difficulty of this approach is that landmark points sometimes cannot be located very accurately. Whole shape matching is used for fish recognition in this paper. Several shape descriptors, such as Fourier descriptors, polygon approximation and line segments, are tested. A power cepstrum technique has been developed in order to improve the categorization speed using contours represented in tangent space with normalized length. Design and integration including image acquisition, contour extraction and fish categorization are discussed in this paper. Fish categorization results based on shape analysis and shape matching are also included.

Paper Details

Date Published: 16 December 2004
PDF: 12 pages
Proc. SPIE 5606, Two- and Three-Dimensional Vision Systems for Inspection, Control, and Metrology II, (16 December 2004); doi: 10.1117/12.571789
Show Author Affiliations
Dah-Jye Lee, Brigham Young Univ. (United States)
Robert B. Schoenberger, Agris-Schoen Vision Systems, Inc. (United States)
Dennis Shiozawa, Brigham Young Univ. (United States)
Xiaoqian Xu, Brigham Young Univ. (United States)
Pengcheng Zhan, Brigham Young Univ. (United States)


Published in SPIE Proceedings Vol. 5606:
Two- and Three-Dimensional Vision Systems for Inspection, Control, and Metrology II
Kevin G. Harding, Editor(s)

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