您当前的位置:
首页 >
文章列表页 >
YOLOv8s-based lightweight and high-accuracy detection for complex-textured fabric defects
Information Sciences | 更新时间:2026-06-24
    • YOLOv8s-based lightweight and high-accuracy detection for complex-textured fabric defects

    • Optics and Precision Engineering   Vol. 34, Issue 11, Pages: 1776-1790(2026)
    • DOI:10.37188/OPE.20263411.1776    

      CLC: TP391.4
    • CSTR:32169.14.OPE.20263411.1776    
    • Received:24 February 2026

      Revised:2026-04-22

      Published:10 June 2026

    移动端阅览

  • XU Shipeng,WANG Wenqi,MI Xiaotao,et al.YOLOv8s-based lightweight and high-accuracy detection for complex-textured fabric defects[J].Optics and Precision Engineering,2026,34(11):1776-1790.

  •  
  •  

0

Views

7

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

Micro-defect detection of pipette tips based on TIP-YOLO
Improvement of YOLOv8 for multi-scale defect detection in wind turbine blades
Rapid and high-precision detection on surface defects of Micro LED
Deflectometric measurement technology for optical surfaces: principles, challenges, and prospects(invited)
Improved phase correlation and clustering ideas for Micro-LED chip microscopic image stitching

Related Author

ZHANG Chentao
TANG Zhojun
WANG Xu
LIU Yang
LYU Zhiyong
ZHENG Gaofeng
XU Zhouyi
XU Liyun

Related Institution

Inner Mongolia Yili Industrial Group Co., Ltd.
Tung Sah Institute of Micro-Nano Science and Technology, Xiamen University
School of Mechanical Engineering, Tongji University
School of Mechanical and Electrical Engineering, Anhui Jianzhu University
University of Chinese Academy of Sciences
0