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http://dx.doi.org/10.6109/jkiice.2011.15.3.545

Extracting Image Information of the unmanned-crane automation system Using an Integrated Vision System  

Lee, Ji-Hyun (창원대학교 공과대학 전자공학과)
Kim, Moo-Hyun (창원대학교 공과대학 전자공학과)
Park, Mu-Hun (창원대학교)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.15, no.3, 2011 , pp. 545-550 More about this Journal
Abstract
This paper introduces an Integrated Vision System that enables us to detect the image of slabs and coils and get the complete three dimensional location data without any other obstacles in the field of unmanned-crane automation system. Existing vision system research tends to be easily influenced by the environment of the work place and therefore cannot give the exact location information. To overcome these weaknesses, this paper suggests laser scanners should be combined with a CCD camera named Integrated Vision System. The suggested system is expected to help improve the unmanned-crane automation system.
Keywords
image information; CCD camera; laser scanner; unmanned-crane automation system;
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1 곽성환, "Vision 센서를 이용한 물체의 형상인식에 관한 연구", 창원대학교, 2008.
2 Gary Rost Bradski, Adrian Kaehler, Learning OpenCV 제대로 배우기, 한빛미디어, 2009.
3 이승규, "스테레오 비젼을 이용한 물체의 형상인식 알고리즘 개발", 창원대학교, 2008
4 조진연, "스테레오 비젼을 이용한 3차원 물체 측정에 관한 연구", 서울산업대학교, 2002