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Bearing defect inspection based on machine vision
Shen, Hao; Li, Shuxiao; Gu, Duoyu; Chang, Hongxing
Source PublicationMEASUREMENT
2012-05-01
Volume45Issue:4Pages:719-733
SubtypeArticle
AbstractAppearance 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.
KeywordMachine Vision Bearings Flaw Detection Visual System Defect Inspection
WOS HeadingsScience & Technology ; Technology
WOS KeywordSUPPORT VECTOR MACHINES ; PATTERN-RECOGNITION ; TEXTILE FABRICS ; EXTRACTION ; SYSTEM
Indexed BySCI
Language英语
WOS Research AreaEngineering ; Instruments & Instrumentation
WOS SubjectEngineering, Multidisciplinary ; Instruments & Instrumentation
WOS IDWOS:000301877500010
Citation statistics
Cited Times:43[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/4162
Collection综合信息系统研究中心
Corresponding AuthorShen, Hao
AffiliationChinese Acad Sci, Inst Automat, Beijing 100190, Peoples R China
First Author AffilicationInstitute of Automation, Chinese Academy of Sciences
Corresponding Author AffilicationInstitute of Automation, Chinese Academy of Sciences
Recommended Citation
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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