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    • Review of vision-based surface defect inspection methods with incomplete annotations

    • In modern manufacturing, research on surface defect detection technology based on machine vision has made new progress, providing important support for the development of industrial intelligence.
    • Vol. 30, Issue 6, Pages: 1661-1689(2025)   

      Received:27 July 2024

      Revised:2024-10-01

      Published:16 June 2025

    • DOI: 10.11834/jig.240434     

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  • Ye Biaohua, Kang Danqing, Xie Xiaohua, Lai Jianhuang. 2025. Review of vision-based surface defect inspection methods with incomplete annotations. Journal of Image and Graphics, 30(6):1661-1689 DOI: 10.11834/jig.240434.
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相关作者

Ye Biaohua 中山大学计算机学院
Kang Danqing 中山大学计算机学院
Xie Xiaohua 中山大学计算机学院;琶洲实验室(黄埔);广东省信息安全技术重点实验室
Lai Jianhuang 中山大学计算机学院;琶洲实验室(黄埔);广东省信息安全技术重点实验室
Liu Cao 华南理工大学未来技术学院
Cao Ting 鹏城实验室
Kang Wenxiong 华南理工大学未来技术学院
Jiang Zhaohui 中南大学自动化学院

相关机构

Pazhou Lab (Huangpu)
School of Automation, Central South University
Pengcheng Laboratory
School of Future Technology,South China University of Technology
School of Computer Science,Northwestern Polytechnical University
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