Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
  • Journal of the Optical Society of Korea
  • Vol. 17,
  • Issue 5,
  • pp. 392-398
  • (2013)

In-line Critical Dimension Measurement System Development of LCD Pattern Proposed by Newly Developed Edge Detection Algorithm

Open Access Open Access

Abstract

As the essential techniques for the CD (Critical Dimension) measurement of the LCD pattern, there are various modules such as an optics design, auto-focus [1-4], and precise edge detection. Since the operation of image enhancement to improve the CD measurement repeatability, a ring type of the reflected lighting optics is devised. It has a simpler structure than the transmission light optics, but it delivers the same output. The edge detection is the most essential function of the CD measurements. The CD measurement is a vital inspection for LCDs [5-6] and semiconductors [7-8] to improve the production yield rate, there are numbers of techniques to measure the CD. So in this study, a new subpixel algorithm is developed through facet modeling, which complements the previous sub-pixel edge detection algorithm. Currently this CD measurement system is being used in LCD manufacturing systems for repeatability of less than 30 nm.

© 2013 Optical Society of Korea

PDF Article
More Like This
Critical dimension measurement of transparent film layers by multispectral imaging

Soonyang Kwon, Namyoon Kim, Taeyong Jo, and Heui Jae Pahk
Opt. Express 22(14) 17370-17381 (2014)

High-precision algorithms for critical angle refractive index measurement

Yun Luo, Wenping Guo, Long Yu, Min Xia, Wei Li, and Kecheng Yang
Appl. Opt. 58(22) 6057-6062 (2019)

Small random library method combined with local searching in optical critical dimension measurements

Wenxiu Zhao, Xiaocheng Wang, and Qianglong Zhong
Appl. Opt. 63(3) 861-864 (2024)

Cited By

Optica participates in Crossref's Cited-By Linking service. Citing articles from Optica Publishing Group journals and other participating publishers are listed here.


Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.