| 注册
首页|期刊导航|测试科学与仪器:英文版|Defect feature recognition method of glass fibre-reinforced structure based on visual image analysis

Defect feature recognition method of glass fibre-reinforced structure based on visual image analysis

HUANG Jingde

测试科学与仪器:英文版2022,Vol.13Issue(1):P.61-67,7.
测试科学与仪器:英文版2022,Vol.13Issue(1):P.61-67,7.DOI:10.3969/j.issn.1674-8042.2022.01.007

Defect feature recognition method of glass fibre-reinforced structure based on visual image analysis

HUANG Jingde1

作者信息

  • 1. Zhuhai College of Science and Technology, Zhuhai 519041, China
  • 折叠

摘要

关键词

glass fibre-reinforced(GFR)structure/multi-layer perceptron(MLP)/machine vision/defect detection

分类

信息技术与安全科学

引用本文复制引用

HUANG Jingde..Defect feature recognition method of glass fibre-reinforced structure based on visual image analysis[J].测试科学与仪器:英文版,2022,13(1):P.61-67,7.

基金项目

Guangdong Provincial University Key Special Project Fund(No.2020zdzx2032) (No.2020zdzx2032)

National Entrepreneurship Practice Fund(No.202013684009s)。 (No.202013684009s)

测试科学与仪器:英文版

OACSCD

1674-8042

访问量2
|
下载量0
段落导航相关论文