Bearing defect inspection based on machine vision | |
Shen, Hao; Li, Shuxiao![]() ![]() | |
发表期刊 | MEASUREMENT
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2012-05-01 | |
卷号 | 45期号:4页码:719-733 |
文章类型 | Article |
摘要 | Appearance defects inspection plays a vital role in bearing quality control. Human inspection is a traditional way to remove defective bearings, which is instable and time consuming. In this paper, we develop a machine vision system for bearing defect inspection, which can inspect various types of defects on bearing covers, such as deformations, rusts, scratches and so on. The proposed system designs a novel image acquisition system to enhance the defects appearances and get controlled image acquisition environment. A series of image processing methods are proposed or utilized to inspect the defects. Especially, for the deformation defects on seal, we find a common rule on the distribution of projection, and design a simple but effective inspection algorithm based on the rule. The proposed system is evaluated and compared with skilled human by the recall, precision and F-measure. Experimental results show that the proposed vision system has high accuracy and efficiency. (C) 2012 Elsevier Ltd. All rights reserved. |
关键词 | Machine Vision Bearings Flaw Detection Visual System Defect Inspection |
WOS标题词 | Science & Technology ; Technology |
关键词[WOS] | SUPPORT VECTOR MACHINES ; PATTERN-RECOGNITION ; TEXTILE FABRICS ; EXTRACTION ; SYSTEM |
收录类别 | SCI |
语种 | 英语 |
WOS研究方向 | Engineering ; Instruments & Instrumentation |
WOS类目 | Engineering, Multidisciplinary ; Instruments & Instrumentation |
WOS记录号 | WOS:000301877500010 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/4162 |
专题 | 综合信息系统研究中心 |
通讯作者 | Shen, Hao |
作者单位 | Chinese Acad Sci, Inst Automat, Beijing 100190, Peoples R China |
第一作者单位 | 中国科学院自动化研究所 |
通讯作者单位 | 中国科学院自动化研究所 |
推荐引用方式 GB/T 7714 | Shen, Hao,Li, Shuxiao,Gu, Duoyu,et al. Bearing defect inspection based on machine vision[J]. MEASUREMENT,2012,45(4):719-733. |
APA | Shen, Hao,Li, Shuxiao,Gu, Duoyu,&Chang, Hongxing.(2012).Bearing defect inspection based on machine vision.MEASUREMENT,45(4),719-733. |
MLA | Shen, Hao,et al."Bearing defect inspection based on machine vision".MEASUREMENT 45.4(2012):719-733. |
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文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
Bearing defect inspe(2772KB) | 期刊论文 | 作者接受稿 | 开放获取 | CC BY-NC-SA | 浏览 |
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