SIA OpenIR  > 智能检测与装备研究室
Application of Weighted Object Variance Algorithm in Metal Surface Defect Detection
Zhang WZ(张万智)1,2,3; Du JS(杜劲松)1,2; Li XQ(李兴强)1,2; Wang W(王伟)1,2
Department智能检测与装备研究室
Conference Name2019 6th International Conference on Advanced Composite Materials and Manufacturing Engineering, ACMME 2019
Conference DateJune 22-23, 2019
Conference PlaceXishuangbanna, Yunnan, China
Source Publication2019 6th International Conference on Advanced Composite Materials and Manufacturing Engineering, ACMME 2019
PublisherIOP
Publication PlaceBristol, UK
2019
Pages1-7
Indexed ByEI
EI Accession number20194507641393
Contribution Rank1
ISSN1757-8981
Keywordweighted object variance Bearing Cylindrical Roller Defect Segmentation and classification SVM
AbstractIn the process of metal surface defect detection, it is difficult to detect and segment small defects. In order to solve this problem, this paper uses weighted object variance algorithm to detect metal surface defects. Then the feature of defect area is extracted and the defect classification model based on support vector machine is trained. In order to verify the effectiveness of the method, this paper takes the metal surface of bearing cylindrical roller as the specific research object. The experimental results show that the method meets the production requirements.
Language英语
Document Type会议论文
Identifierhttp://ir.sia.cn/handle/173321/26538
Collection智能检测与装备研究室
Corresponding AuthorZhang WZ(张万智)
Affiliation1.Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China
2.Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang 110016, China
3.University of Chinese Academy of Sciences, Beijing 100049, China
Recommended Citation
GB/T 7714
Zhang WZ,Du JS,Li XQ,et al. Application of Weighted Object Variance Algorithm in Metal Surface Defect Detection[C]. Bristol, UK:IOP,2019:1-7.
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