3축 스테이지의 자동 용접 작업을 위한 웹카메라 영상 처리 기반의 자연 지표 추출법 개발
Development of Web-camera Image Processing-based Natural Landmark Extraction Method for Automatic Welding Using 3-axis Stage
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초록
This study introduces the web-camera image processing-based natural landmark extraction method for automatic welding using 3-axis stage. The welding is a highly significant process in the industries of shipbuilding, automobile, construction, machinery, and so on. However, it has been avoided due to poor working conditions such as fume, spatter, noise, and so on. For the automatic welding system, the web-camera is used to extract the natural landmarks which can give the relative coordinate to set up the initial position of the stage for the welding process. The Canny edge and Hough transformation have been used to extract the significant points for the natural landmark extraction in this paper.
Abstract
This study introduces the web-camera image processing-based natural landmark extraction method for automatic welding using 3-axis stage. The welding is a highly significant process in the industries of shipbuilding, automobile, construction, machinery, and so on. However, it has been avoided due to poor working conditions such as fume, spatter, noise, and so on. For the automatic welding system, the web-camera is used to extract the natural landmarks which can give the relative coordinate to set up the initial position of the stage for the welding process. The Canny edge and Hough transformation have been used to extract the significant points for the natural landmark extraction in this paper.
참고문헌 (7)
- Jeongick Lee, "An Application on Control of Based Height and Joint Tracking Using Laser Vision Sensor", Journal of the Korean Society of Mechanical Technology, 4(1), pp.17~25 (2002)
- D. S. Hyun, "A Study on Control of Weld System Using Vision Sensor", Journal of the Korean Society of Mechanical Technology, 5(1), pp.119~124 (2003)
- Sungryun Kim, "Steel Grating", Korea Patent, 10-1078092, ~ (2011)
- J. Canny, "A Computational Approach to Edge Detection", IEEE Transactions on Pattern Analysis and Machine Intelligence, 8(6), pp.679~698 (1986)
- Use of the Hough Transformation to Detect Lines and Curves in Pictures, "R. O. Duda", Artificial Intelligence Center, ~ (1971)
- M. A. Fischler, "Random Sample Consensus: A Paradigm for Model Fitting with Applications to Image Analysis and Automated Cartography", Comm. of the ACM, 24(6), pp.381~395 (1981)
