4.6 Article

Survey of Mura Defect Detection in Liquid Crystal Displays Based on Machine Vision

Journal

CRYSTALS
Volume 11, Issue 12, Pages -

Publisher

MDPI
DOI: 10.3390/cryst11121444

Keywords

LCD; Mura defect; mechanical vision; dimension reduction; feature extraction; classifie

Funding

  1. Local Innovative and Research Teams Project of Guangdong Pearl River Talents Program [2017BT01G167]
  2. Guangdong Provincial Key Laboratory of Manufacturing Equipment Digitization [2020B1212060014]
  3. Guangdong Youth Talent Innovation Project [2019GKQNCX092]

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Liquid crystal displays (LCDs) have become an essential part of people's lives, with the detection of Mura defects being a key concern in the manufacturing process. This study explains the mechanism and classification of Mura defects, compares different purposes for defect detection, and reviews related literature on image processing and defect classifiers to draw future research directions.
Liquid crystal display (LCD) is a display device based on liquid crystal electro-optic effect, and LCDs have gradually appeared and have become an indispensable part of people's lives. In the development of LCD technology, the detection of Mura defects is a key concern in the manufacturing process. The Mura defect is a kind of display defect with low contrast and an irregular shape. This study first explains the mechanism of Mura defects in the LCD manufacturing process and classifies typical Mura defects. Then, three main purposes for the defect detection of LCDs are compared, and the advantages and disadvantages are conducted. Following that, this research examines reviews the linked literature on image preprocessing, feature extraction, dimension reduction, and classifiers of Mura defects. Finally, the future development trend and research direction of Mura defect detection based on machine vision can be drawn by this study.

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