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Novel system for semiautomatic image segmentation of arctic charr

[+] Author Affiliations
Birgitta Martinkauppi

University of Joensuu, P.O. Box 111, FI-80101 Joensuu, Finland

Elena Doronina

University of Joensuu, P.O. Box 111, FI-80101 Joensuu, Finland

Jorma Piironen

Riista-ja kalatalouden tutkimuslaitos, Joensuun riistan-ja kalantutkimus, Yliopistokatu 6, FI-80100 Joensuu, Finland

Timo Jaaskelainen

University of Joensuu, P.O. Box 111, FI-80101 Joensuu, Finland

Jussi Parkkinen

University of Joensuu, P.O. Box 111, FI-80101 Joensuu, Finland

J. Electron. Imaging. 16(3), 033012 (August 23, 2007). doi:10.1117/1.2774971
History: Received February 09, 2006; Revised January 11, 2007; Accepted February 15, 2007; Published August 23, 2007
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We propose a practical schema for semiautomatic segmentation of images of Arctic charr. The goal is to separate differently colored parts of the fish, especially red abdominal areas from the other parts. The novelty and importance of the proposed system are in the reconstruction of a working schema rather than its components. The system is important to fisheries since the coloration of fish is connected to the genetic quality and is often used to evaluate the health status of the fish. Quantitative analysis of this kind of information gives follow-up data and a more realistic view of fish stock than the basic visual evaluation. The schema takes consideration of economical limitations of an ordinary fishery and educational aspects of personnel. The results are evaluated visually by the experts and against a neural network solution.

© 2007 SPIE and IS&T

Citation

Birgitta Martinkauppi ; Elena Doronina ; Jorma Piironen ; Timo Jaaskelainen and Jussi Parkkinen
"Novel system for semiautomatic image segmentation of arctic charr", J. Electron. Imaging. 16(3), 033012 (August 23, 2007). ; http://dx.doi.org/10.1117/1.2774971


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