Presentation 2009-05-29
Heterogeneous Defect Detection of Metal Surface using SVM
Kenta KUROKAWA, Masakazu MORIMOTO, Kensaku FUJII,
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Abstract(in English) In this paper, we focus on a defect detection of a metal artifact which has cylinder shape. It sometimes ruined by scratch and/or liquid spill in factory line as heterogeneous defects. So we have to find them from line CCD scanned images using SVM (Support Vector Machines). Then we apply purification of training dataset. And by detecting defects of scratch and liquid spill separately, we try to improve detection accuracy. And also, by selecting effective components among feature vector components, we try to keep high detection accuracy and speed up processing time.
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Keyword(in English) Defect detection / Computer vision / Support vector machines / Feature selection
Paper # EA2009-17,SIP2009-17,SP2009-22
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Committee SIP
Conference Date 2009/5/21(1days)
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Registration To Signal Processing (SIP)
Language JPN
Title (in Japanese) (See Japanese page)
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Title (in English) Heterogeneous Defect Detection of Metal Surface using SVM
Sub Title (in English)
Keyword(1) Defect detection
Keyword(2) Computer vision
Keyword(3) Support vector machines
Keyword(4) Feature selection
1st Author's Name Kenta KUROKAWA
1st Author's Affiliation Graduate School of Engineering, University of Hyogo()
2nd Author's Name Masakazu MORIMOTO
2nd Author's Affiliation Graduate School of Engineering, University of Hyogo
3rd Author's Name Kensaku FUJII
3rd Author's Affiliation Graduate School of Engineering, University of Hyogo
Date 2009-05-29
Paper # EA2009-17,SIP2009-17,SP2009-22
Volume (vol) vol.109
Number (no) 56
Page pp.pp.-
#Pages 6
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