Earticle

초록

영어

In this paper, we propose an automatic scratch inspection method to detect small scratches from eyeglasses using fuzzy logic. Inspecting scratches of eyeglasses largely depends on the native eye exam of field opticians that may lead providing possibly harmful eyeglasses to customers at optician's shop. Usually those small scratches are often occurred in the process of transportation rather than that of production thus field opticians have burden of preventing selling defected lenses. Our method computes the possibility of ill-effect by scratch on glasses with membership degree of the scratch size and that of distance between the center and the scratch from candidate scratched areas extracted in the pre- processing phase. Two-phase preprocessing mechanism as this paper offers improves the sensitivity and accuracy of detecting scratches from previous study. Our method is applied to CHEMI MID HL HM sight- corrective dioptric lenses in experiment and it is verified that the proposed method is sufficiently effective by real optician's evaluation.

목차

Abstract
 1. Introduction
 2. Extracting Lens Area with Image Processing
 3. Extracting Scratches with Fuzzy Logic
 4. Experiment and Analysis
 5. Conclusion
 References

키워드

저자

• Kwang Baek Kim [ Department of Computer Engineering, Silla University, Korea ]
• Doo Heon Song [ Department of Computer Games, Yong-in SongDam University, Korea ]
• Young Woon Woo [ Department of Multimedia Engineering, Dong-Eui University, Korea ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Multimedia and Ubiquitous Engineering

• 간기

  월간

• pISSN

  1975-0080

• 수록기간

  2008~2016

• 등재여부

  SCOPUS

• 십진분류

  KDC 505 DDC 605