Extraction Method of Scallop Area from Sand Seabed Images-Reference-Cited by-同舟云学术

Extraction Method of Scallop Area from Sand Seabed Images

Published:2014 Issue:1 Volume:E97.D Page:130-138
ISSN:0916-8532
Container-title:IEICE Transactions on Information and Systems
language:en
Short-container-title:IEICE Trans. Inf. & Syst.

Author:

ENOMOTO Koichiro¹,TODA Masashi²,KUWAHARA Yasuhiro³

Affiliation:

1. Graduate School of Systems Information Science, Future University Hakodate

2. Center for Multimedia and Information Technologies, Kumamoto University

3. Hokkaido Abashiri Fisheries Experiment Station

Publisher

Institute of Electronics, Information and Communications Engineers (IEICE)

Subject

Artificial Intelligence,Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Hardware and Architecture,Software

Link

https://www.jstage.jst.go.jp/article/transinf/E97.D/1/E97.D_130/_pdf

Reference16 articles.

1. [1] N. Honda and T. Watanabe, “Vertical distribution survey of the giant jellyfish Nemopilema nomurai by an underwater video camera attached to a midwater trawl net,” Bulletin of the Japanese Society of Scientific Fisheries, vol.73, no.6, pp.1042-1048, Nov. 2007.

2. [2] K. Fujita, T. Watanabe, and D. Kitagawa, “Behavioral responses of the snow crab Chinoecetes spp. to the groundrope of a bottom trawl,” Bulletin of the Japanese Society of Scientific Fisheries, vol.72, no.4, pp.695-701, Jan. 2006.

3. [3] Hokkaido Abashiri Fisheries Experiment Station, “Monitoring manual,” 2006.

4. [4] T. Katsukawa, “Studies on the adaptive management of fisheries resources,” Bulletin of the Japanese Society of Scientific Fisheries, vol.73, no.4, pp.656-659, July 2007.

5. [5] K. Enomoto, M. Toda, and Y. Kuwahara, “Extraction method of scallop area in gravel seabed images for fishery investigation,” IEICE Trans. Inf. & Syst., vol.E93-D, no.7, pp.1754-1760, July 2010.

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