Liquid crystal display defects in multiple backgrounds with visual real‐time detection

Author:

Cui Yu1ORCID,Wang Sen1,Wu Haibo1ORCID,Xiong Binzhou1,Pan Yunlong1

Affiliation:

1. Faculty of Mechanical and Electrical Engineering Kunming University of Science and Technology Kunming China

Funder

National Natural Science Foundation of China

Publisher

Wiley

Subject

Electrical and Electronic Engineering,Atomic and Molecular Physics, and Optics,Electronic, Optical and Magnetic Materials

Reference26 articles.

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2. FanW LuC TsujinoK.An automatic machine vision method for the flaw detection on car's body.IEEE 7th International Conference on Awareness Science and Technology (ICAST) vol. 2015;Qinhuangdao;2015. p.13–18.

3. Defect inspection system design based on the automated optical inspection technique for LCD module;Li HX;Chin J Liq Cryst Displays,2020

4. Ensembie learning approaches to data imbalance and competing objectives in design of an industrial machine vision system;Zuvela P;Ind Eng Chem Res,2020

5. A novel feature detection method using multi‐dimensional image fusion for automated optical inspection on critical dimension;Chen LC;J Chin Soc Mech Eng,2018

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