본문 바로가기
KERD
논문KCI 등재

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

1

조회

0

다운로드

4

인용

0

참고문헌

키워드

주제분류기계공학

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)

  1. 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)
  2. 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)
  3. Sungryun Kim, "Steel Grating", Korea Patent, 10-1078092, ~ (2011)
  4. J. Canny, "A Computational Approach to Edge Detection", IEEE Transactions on Pattern Analysis and Machine Intelligence, 8(6), pp.679~698 (1986)
  5. Use of the Hough Transformation to Detect Lines and Curves in Pictures, "R. O. Duda", Artificial Intelligence Center, ~ (1971)
  6. 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)

관련 논문AI추천

이 간행물의 다른 논문 (16건)