中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Bearing defect inspection based on machine vision

文献类型:期刊论文

作者Shen, Hao; Li, Shuxiao; Gu, Duoyu; Chang, Hongxing
刊名MEASUREMENT
出版日期2012-05-01
卷号45期号:4页码:719-733
关键词Machine vision Bearings Flaw detection Visual system Defect inspection
英文摘要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.
WOS标题词Science & Technology ; Technology
类目[WOS]Engineering, Multidisciplinary ; Instruments & Instrumentation
研究领域[WOS]Engineering ; Instruments & Instrumentation
关键词[WOS]SUPPORT VECTOR MACHINES ; PATTERN-RECOGNITION ; TEXTILE FABRICS ; EXTRACTION ; SYSTEM
收录类别SCI
语种英语
WOS记录号WOS:000301877500010
源URL[http://ir.ia.ac.cn/handle/173211/4162]  
专题自动化研究所_综合信息系统研究中心
作者单位Chinese Acad Sci, Inst Automat, Beijing 100190, Peoples R China
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.

入库方式: OAI收割

来源:自动化研究所

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