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영상 특징 정합 및 양선형 보간법을 이용한 자동 도면 정합 검사 시스템

Automatic Drawing Conformity Inspection System Using Image Features Matching and Bilinear Interpolation

  • 송복득 (부산대학교 IT응용공학과) ;
  • 이승희 (부산대학교 IT응용공학과) ;
  • 정맹금 (부산대학교 IT응용공학과) ;
  • 김혜진 (부산대학교 IT응용공학과) ;
  • 신범주 (부산대학교 IT응용공학과) ;
  • 이완직 (부산대학교 IT응용공학과) ;
  • 양황규 (동서대학교 컴퓨터정보공학부 소프트웨어공학전공) ;
  • 김명호 ((주)비트밸리)
  • Song, Bok-Deuk (Department of Applied IT and Engineering, Pusan National University) ;
  • Lee, Seung-Hee (Department of Applied IT and Engineering, Pusan National University) ;
  • Jeong, Maeng-Geum (Department of Applied IT and Engineering, Pusan National University) ;
  • Kim, Hye-Jin (Department of Applied IT and Engineering, Pusan National University) ;
  • Shin, Bum-Joo (Department of Applied IT and Engineering, Pusan National University) ;
  • Lee, Wan-Jik (Department of Applied IT and Engineering, Pusan National University) ;
  • Yang, Hwang-Kyu (Division of Computer and Information Engineering, Dongseo University) ;
  • Kim, Myung-Ho (Bit Vally Co. Ltd.)
  • 투고 : 2012.03.09
  • 심사 : 2012.03.16
  • 발행 : 2012.04.01

초록

To evaluate whether or not their product is in conformity with its drawing, today's factories manufacturing rubber and/or plastic products use manual process. In manual conformity inspection process, a person decides conformity as comparing drawing to image of product with his eyes. The manual process is tedious and time-consuming in addition that it is impossible to automatically record various informations related to inspection. To solve such problems, this paper proposes automatic drawing conformity inspection system based on computer vision technologies such as image feature matching and bilinear interpolation. The test results show that proposed system is a lot faster when comparing with manual system.

키워드

참고문헌

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