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http://dx.doi.org/10.6109/jkiice.2013.17.4.922

The Amur starfishes recognition using the adaptive filter  

Kim, Jong Ik (관동대학교 컴퓨터학과)
Shim, Hyun Bo (한국과학기술정보연구원 Reseat Program)
Kim, Sung Rak (관동대학교 컴퓨터공학과)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.17, no.4, 2013 , pp. 922-934 More about this Journal
Abstract
The Amur Starfishes, known as give huge damages to shellfish farms, are being removed by only divers and fish net in the wide areas. Therefore, increasing recognition rates of starfishes are desperately required to remove high amounts of Amur Starfishes effectively. Meanwhile, current technology of obtaining the images of starfish distribution has limitation of obtaining color images due to using visible light in the darkness seabed area. In this research, we have used infrared ray, which is very penetrated, and strong against noise that comes from floating objects under the water, in order to solve current problems. As a result, we have acquired better images to analyze recognition rates of starfishes, and also able to received much satisfied recognition rate results for 88.7% of Amur Starfishes by adopting the most suitable adaptive filter method.
Keywords
Adaptive Filter; Amur Starfish; images; Recognition;
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