上海航天（中英文）2023，Vol.40Issue(6)：159-164,6.DOI:10.19328/j.cnki.2096-8655.2023.06.020
缺陷检测中的标签噪声形态恢复方法及其应用
Label Noise Morphology Recovery Method for Defect Detection and Its Application
张富照 1苏林 1陈元昊 1易建军 1盛涛 2郑金华2
作者信息
- 1. 华东理工大学 机械与动力工程学院,上海 200237
- 2. 上海复合材料科技有限公司,上海 201112
- 折叠
摘要
Abstract
In order to ensure the reliability of carbon fiber material products and eliminate various possible defects,it is necessary to adopt effective means to inspect their quality.The X-ray based non-destructive testing technique combined with image recognition algorithms is considered to be a fast and effective solution.However,the surface of the processed material is usually accompanied by labels containing various information,which will interfere with the identification of defects during inspection or even result in false detection.This paper focuses on an image feature-based noise recovery method for product labels and its application in defect detection.The method can effectively eliminate noise without affecting the rest of the image information,thus ensuring that the algorithm can correctly identify the defects in the material.关键词
缺陷检测/噪声过滤/深度学习/碳纤维复合材料Key words
defect detection/noise filtering/deep learning/carbon fiber composite分类
信息技术与安全科学引用本文复制引用
张富照,苏林,陈元昊,易建军,盛涛,郑金华..缺陷检测中的标签噪声形态恢复方法及其应用[J].上海航天（中英文）,2023,40(6):159-164,6.
