您当前的位置:
首页 >
文章列表页 >
Conductive particle target detection algorithm based on improved YOLO11n
Image Processing | 更新时间:2025-12-24
    • Conductive particle target detection algorithm based on improved YOLO11n

    • In the field of flexible glass bonding and packaging technology, researchers have proposed the FSL-YOLO11n algorithm, which effectively improves the efficiency of conductive particle detection and provides an efficient solution for industrial testing.
    • Chinese Journal of Liquid Crystals and Displays   Vol. 40, Issue 12, Pages: 1853-1867(2025)
    • DOI:10.37188/CJLCD.2025-0178    

      CLC: TP391.41
    • CSTR:32172.14.CJLCD.2025-0178    
    • Received:02 September 2025

      Revised:2025-11-02

      Published:05 December 2025

    移动端阅览

  • ZENG Zihao, LIU Peng, DENG Wenjuan, et al. Conductive particle target detection algorithm based on improved YOLO11n[J]. Chinese Journal of Liquid Crystals and Displays, 2025, 40(12): 1853-1867. DOI: 10.37188/CJLCD.2025-0178. CSTR: 32172.14.CJLCD.2025-0178.

  •  
  •  

0

Views

42

下载量

0

CSCD

Alert me when the article has been cited
提交
Tools
Download
Export Citation
Share
Add to favorites
Add to my album

Related Articles

Small object detection algorithm in UAV aerial images based on improved YOLO11
Object detection in foggy image based on Double-Head
Aircraft target detection method based on improved SSD
Lightweight SSD object detection method based on feature fusion

Related Author

HUANG Jianghua
ZHANG Zhihao
LI Xiaorun
CHEN Shuhan
LI Ren-si
SHI Yun-yu
LIU Xiang
TANG Xian

Related Institution

JINJIA Electronics
College of Electrical Engineering, Zhejiang University
Department of Electric and Electronic Engineering, Shanghai University of Engineering Science
College of Electronic Information Engineering, Xi'an Technological University
College of Ordnance Science and Technology, Xi'an Technological University
0