NDLI: An automated fish species classification and migration monitoring system

Content Provider	IEEE Xplore Digital Library
Author	Lee, D.J. Redd, S. Schoenberger, R. Xiaoqian Xu Pengcheng Zhan
Copyright Year	2003
Description	Author affiliation: Dept. of Electr. Eng., Brigham Young Univ., Provo, UT, USA (Lee, D.J.; Redd, S.)
Abstract	The quantification of abundance, distribution, and movement of fish is critical to ecological and environmental studies of fish communities. To properly manage, regulate, and protect migratory fisheries it is essential to accurately monitor numbers, size, and species of fish at specific fish passages during migratory seasons. Currently, all monitoring is done manually with significant time and financial constraints. An automated fish classification system will simplify data gathering and improve data accuracy. In this research, 22 images of 9 target species were recorded. The contour of each image was extracted to form a closed curve for shape analysis. A new shape analysis algorithm was developed for removing edge noise and redundant data points such as short straight lines. A curvature function analysis was used to locate critical landmark points. The fish contour segments of interest were then extracted based on these landmark points for species classification. By comparing individual contour segments to the curves in the database, accurate pattern matching was achieved.
Sponsorship	IEEE Industrial Electronics Soc
Starting Page	1080
Ending Page	1085
File Size	482800
Page Count	6
File Format	PDF
ISBN	0780379063
DOI	10.1109/IECON.2003.1280195
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2003-11-02
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Marine animals Computerized monitoring Data mining Shape Protection Aquaculture Time factors Image analysis Algorithm design and analysis Noise shaping
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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