대한전자공학회논문지SP (Journal of the Institute of Electronics Engineers of Korea SP)

대한전자공학회 (The Institute of Electronics and Information Engineers)
권호 표지

잡음에 강건한 주목 연산자를 이용한 효과적인 BLU 얼룩 검사

An Efficient BLU Inspection Using Noise-Tolerant Context-free Attention Operator

  • 박창준 (한국전자통신연구원 가상현실연구부) ;
  • 최흥문 (경북대학교 전자전기공학부)
  • Park, Chang-Jun (Imagination Actuality Research Division, Electronics and Telecommunications Research Institute) ;
  • Choe, Heung-Mun (School of Electronic & Electrical Engineering, Kyungpook National University)
  • 발행 : 2001.11.01
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초록

본 논문에서는 BLU(back light unit) 검사에 적합하도록 잡음에 강건한 일반화 대칭 변환을 주목 연산자로 제안하여 적용함으로써 형태와 크기 및 명도가 다양한 BLU 얼룩들을 효과적으로 검출하였다. 제안한 주목 연산자는 두 화소 명도변화의 크기와 대칭성뿐만 아니라 그 방사(radial)방향의 수렴 및 발산 극성도 반영시켜 잡음이나 불규칙한 배경영상의 양극성 대칭도 누적을 상쇄시킴으로써 명도분포가 일정치 않고 복잡한 무늬의 배경을 갖는 BLU 특유의 검사영상으로부터 얼룩만을 효과적으로 검출할 수 있도록 하였다. CCD 카메라로 입력된 고해상도의 BLU 검사영상에 대해 실험하여 BLU 얼룩 검사에 효과적으로 활용할 수 있음을 확인하였다.

In this paper, a noise-tolerant generalized symmetry transform(NTGST) is proposed as an effective attention operator for the spot detection in BLU inspection, in which various spots with variable sizes, shapes, gray levels, and low contrast, should be detected from the complex, noisy background with lattice shaped shading. The proposed NTGST takes into account the polarity of convergence and divergence of the radial orientation of the intensity gradient as well as it's magnitude and symmetry, and thereby can detect only the BLU spots from the noisy and lattice shaped shadows of background. Experiments are conducted on the BLU inspection image obtained by CCD camera, and the proposed NTGST is Proved to be effectively used in BLU inspection.

키워드

참고문헌

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