DOI QR코드

DOI QR Code

Defect Cell Extraction for TFT-LCD Auto-Repair System

TFT-LCD 자동 수선시스템에서 결함이 있는 셀을 자동으로 추출하는 방법

  • 조재수 (한국기술교육대학교 멀티미디어공학) ;
  • 하광성 (한국기술교육대학교 멀티미디어공학) ;
  • 이진욱 (한국기술교육대학교 정보미디어대학원) ;
  • 김동현 ((주)DE&T) ;
  • 전재웅 ((주)DE&T)
  • Published : 2008.05.01

Abstract

This paper proposes a defect cell extraction algorithm for TFT-LCD auto-repair system. Auto defect search algorithm and automatic defect cell extraction method are very important for TFT-LCD auto repair system. In the previous literature[1], we proposed an automatic visual inspection algorithm of TFT-LCD. Based on the inspected information(defect size and defect axis, if defect exists) by the automatic search algorithm, defect cells should be extracted from the input image for the auto repair system. For automatic extraction of defect cells, we used a novel block matching algorithm and a simple filtering process in order to find a given reference point in the LCD cell. The proposed defect cell extraction algorithm can be used in all kinds of TFT-LCD devices by changing a stored template which includes a given reference point. Various experimental results show the effectiveness of the proposed method.

Keywords

References

  1. 조재수, 하광성, 이진욱, 홍석창, "영상 형태학적 처리를 이용한 TFT-LCD 불량검출에 관한 연구," 제 20 회 신호처리합동학술대회, 경북대, 2007. 10
  2. 조재수, 하광성, 이진욱, 김동현, 전재웅, "TFT-LCD 결함 패턴 추출에 관한 연구," 2007 정보제어 학술대회, 제천풍청, 2007. 10
  3. H. Onishi, etc, "A pattern defect inspection method by parallel grayscale image comparison without precise image alignment," IECON-PROCEEDINGS, vol. 3, no. 2002
  4. J.-S. Cho and D.-J. Park, "Robust shape-matching criterion for precision tracking of moving objects in correlated image sequences," Electronics Letters, vol. 40, no. 1, pp. 22-24, Jan. 2004 https://doi.org/10.1049/el:20040027