Mura defect detection of LCD screen based on improved YOLOv8n
Device Physics and Device Preparation|更新时间:2025-03-06
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Mura defect detection of LCD screen based on improved YOLOv8n
“In the field of Mura defect detection in LCD screens, researchers have proposed a YOLO-D3MNet model based on improved YOLOv8n, which effectively improves detection accuracy and provides a new solution for solving Mura defect detection problems.”
Chinese Journal of Liquid Crystals and DisplaysVol. 40, Issue 3, Pages: 439-447(2025)
作者机构:
1.四川轻化工大学 机械工程学院, 四川 宜宾 644000
2.四川京龙光电科技有限公司, 四川 宜宾 644000
作者简介:
基金信息:
Yibin Sanjiang New Area Unveiling Hanging Project(2022JBGS001);Yibin High-Level Talents Introduction Plan(2022YG01);Special Project for Guiding Local Science and Technology Development by Central Government of Sichuan Province(2024ZYD0300)
CHEN Shunlong, LIAO Yinghua, LIN Feng, et al. Mura defect detection of LCD screen based on improved YOLOv8n[J]. Chinese journal of liquid crystals and displays, 2025, 40(3): 439-447.
DOI:
CHEN Shunlong, LIAO Yinghua, LIN Feng, et al. Mura defect detection of LCD screen based on improved YOLOv8n[J]. Chinese journal of liquid crystals and displays, 2025, 40(3): 439-447. DOI: 10.37188/CJLCD.2024-0295. CSTR: 32172.14.CJLCD.2024-0295.
Mura defect detection of LCD screen based on improved YOLOv8n