Automated Mura Defect Detection System on LCD Displays using Random Forest Classifier

Gustavo M. Torres,Adriana S. Souza,David A. O. Ferreira,Luiz C. S. G. Júnior,Kethilen Y. Ouchi,Myke D. M. Valadão,Mateus O. Silva,Victor L. G. Cavalcante, Edma V. C. U Mattos,Antônio M. C. Pereira,Caio F. S. Cruz,Agemilson P. Silva,Ruan J. S. Belem,André S. Costa,Lucas G. C. Evangelista,Wilson C. C. Junior,Ricardo G. Paula,Thiago B. Bezerra,Waldir S. S. Júnior,Celso B. Carvalho

2021 IEEE International Conference on Consumer Electronics (ICCE)（2021）

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摘要

Mura on LCD displays are challenging visual defects to detect, due to uneven brightness of the panel. So, automatic detection of mura defects on TVs and monitors is an important application to ensure the quality of LCDs manufactured in electronic product factories. In this work, conducted by three partners, called UFAM/CETELI, Envision (TPV Group) and ICTS, we propose an automated mura defect dete...

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