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칼라 나사 검사를 위한 표면 영역 자동 검출

Seoul National University of Science and Technology

  • 송태훈 (서울과학기술대학교 자동차공학과) ;
  • 하종은 (서울과학기술대학교 기계.자동차공학과)
  • Song, Tae-Hoon ;
  • Ha, Jong-Eun (Dept. of Mechanical & Automotive Engineering, Seoul National University of Science and Technology)
  • 투고 : 2015.11.13
  • 심사 : 2016.01.24
  • 발행 : 2016.01.30

초록

나사는 산업의 모든 분야에서 널리 사용되는 중요한 부품이다. 최근에는 여러 가지 필요에 의해 다양한 칼라 나사가 출시되고 있다. 이에 따라 제조 공정상에서 실시간 품질 검사가 요구되고 있다. 본 논문에서는 칼라 정보와 동적 계획법(Dynamic Programming) 알고리듬을 이용한 칼라 나사 검사를 위한 표면 영역 자동 추출 알고리듬에 대해 다루도록 한다. 나사의 외곽 경계는 칼라 성분의 차이를 이용하여 보다 강인한 검출이 가능하도록 한다. 나사의 내부 경계는 직교 좌표계를 극좌표계로 변환후 흑백 이미지상에서 일정 영역의 밝기값 차이를 이용한 동적 계획법을 적용하여 추출하도록 한다. 실험에서는 동일한 인자값을 이용한 결과를 분석하도록 한다.

Fastener is a very important component that is used in various areas in industry. Recently, various color fasteners are introduced. According to this, online inspection is required in this area. In this paper, an algorithm for the automatic extraction of the surface of color fastener using color information and dynamic programming is presented. The outer boundary of fastener is found using the difference of color that enables robust processing. The inner boundary of fastener is found by dynamic programming that uses the difference of brightness value within fixed area after converting image to polar coordinate. Experiments are done using the same parameters.

키워드

참고문헌

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