Open Access
MATEC Web of Conferences
Volume 61, 2016
The International Seminar on Applied Physics, Optoelectronics and Photonics (APOP 2016)
Article Number 04018
Number of page(s) 4
Section Chapter 4 Information Technology
Published online 28 June 2016
  1. K. Toyosawa, N. Nakamura, K. Fukuta, Y. Chikawa, COF(Chip-On-Film) Technology for LCD Driver ICs Using Reel-to-Reel System, Sharp Corporation Tec-hnical Report 8, 56 (2001) [Google Scholar]
  2. J.Q. Cai, The current status and perspective of COF tape for large scale LCD, Short Comment & Intro-duct 6, 10 (2012) [Google Scholar]
  3. X.F. Dong, Z.Y. Han, S.Y. Liao, X.X. Yi, Study on Semiconductor Surface Defect Detection Based on Machine Vision, Metrology & Measurement Techn-ology 5, 22 (2014) [Google Scholar]
  4. Y.J. Roh, C.W. Kim, C.O. Jung, D. Jeong, Defect Classification Using Bayesian Approach for Tape Substrate Inspection System, Proceedings of the 17th World Congress on The International Federation of Automatic Control, Seoul, Korea, July 6–11, 8177 (2008) [Google Scholar]
  5. R. K, D.K. M, V.K. K, S.P. Nath, Optical Pattern In-spection for Flex PCB — Challenges & Solution, Proceedings of the 17th World Congress on The International Federation of Automatic Control, Seoul, Korea, July 6-11, 8196 (2008) [Google Scholar]
  6. C.T. Liao, W.H. Lee, S.H. Lai, A Flexible PCB Ins-pection System Based on Statistical Learning, J Sign Process Syst 67, 279 (2012) [CrossRef] [Google Scholar]
  7. J.S. Kim, COF Defects Detection and Classification System Based on Reference Image, Journal of the Korea Institute of Information and Communication Engineering 17, 1899 (2013) [CrossRef] [Google Scholar]
  8. P. Jiang, X. B. Xu, M.Fang, Study and Implementa-tion of Skeleton Extraction Algorithm Based on Morphology, Computer Application 23, 136 (2003) [Google Scholar]
  9. L. Lam, S. W. Lee, C. Y. Suen, Thinning Methodologies-A Comprehensive Survey, IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE 14, 869 (1992) [Google Scholar]
  10. L. Yu, G.W. Wang, Fast Thinning Algorithm of Bin-ary Images, Science and Technology Vision 5, 100 (2012) [Google Scholar]
  11. W. Yang, K. Guo, Y.K. Wei, An Efficient Index Thin-ning Algorithm of Fingerprint Image Based on Eight Neighbourhood Points, JOURNAL OF SICHUAN UNIVERSITY OF SCIENCE & ENGINEERING (NATURAL SICENCE EDITION) 21, 61 (2008) [Google Scholar]
  12. A.B. Naeem, H. Allan, Granulometry based Detection of Junction and End Points in Patent Drawings, 7th International Symposium on Image and Signal Processing and Analysis, Dubrovnik, Croatia, September 4-6, 307 (2011) [Google Scholar]
  13. X.L. Zou, G.C. Feng, Weber’s Law-based Transition Region Extraction and Thresholding, Science Technology and Engineering 13, 4217 (2013) [Google Scholar]
  14. S.F. Ding, B.J. Qi, H.Y. Tan, An Overview on Theory and Algorithm of Support Vector Machines, Journal of University of Electmnic Science and Technology of China 40, 2 (2011) [Google Scholar]
  15. J.B. Xie, Visual Machine Learning 20, Tsinghua University Press, 88 (2015) [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.