OPT OpenIR  > 空间光学应用研究室
Design of inspection system for surface defects on industrial parts under complex background
Wang, Yudan1,2; Wen, Desheng1; Song, Zongxi1
2017
会议名称Applied Optics and Photonics China: Optical Sensing and Imaging Technology and Applications, AOPC 2017
会议录名称AOPC 2017: Optical Sensing and Imaging Technology and Applications
卷号10462
会议日期2017-06-04
会议地点Beijing, China
出版者SPIE
产权排序1
摘要

This work aims at detecting defects on metallic industrial parts with complex surface. The searched defects are scar, rust and inclusion. A specific inspection system has been designed to deal with the particular inspected surface features. In the system, two images are acquired with the help of multiple light sources and CCD color digital camera. Based on the traditional algorithm, the background removal algorithm is designed in this article, and the color image feature extraction is also used for auxiliary analysis. A thresholding processing is then applied on this image in order to segment the imperfections. The perimeter and area of defects are calculated to further identifies the characteristics. The developed inspection system has been tested and it can accurately detect the defects of industrial parts with complex background. The recognition rate of algorithm is more than 96%. © 2017 SPIE.

作者部门空间光学应用研究室
DOI10.1117/12.2282664
收录类别EI ; ISTP
ISBN号9781510614055
语种英语
ISSN号0277786X
引用统计
文献类型会议论文
条目标识符http://ir.opt.ac.cn/handle/181661/29910
专题空间光学应用研究室
作者单位1.Space Optics Laboratory, Xi'an Institute of Optics and Precision Mechanics of CAS, Xi'an, 710119, China
2.University of Chinese Academy of Sciences, Beijing, 100049, China
推荐引用方式
GB/T 7714
Wang, Yudan,Wen, Desheng,Song, Zongxi. Design of inspection system for surface defects on industrial parts under complex background[C]:SPIE,2017.
条目包含的文件
文件名称/大小 文献类型 版本类型 开放类型 使用许可
Design of inspection(837KB)会议论文 开放获取CC BY-NC-SA请求全文
个性服务
推荐该条目
保存到收藏夹
查看访问统计
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Wang, Yudan]的文章
[Wen, Desheng]的文章
[Song, Zongxi]的文章
百度学术
百度学术中相似的文章
[Wang, Yudan]的文章
[Wen, Desheng]的文章
[Song, Zongxi]的文章
必应学术
必应学术中相似的文章
[Wang, Yudan]的文章
[Wen, Desheng]的文章
[Song, Zongxi]的文章
相关权益政策
暂无数据
收藏/分享
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。