Presentation 2011-12-16
Automatic defect classification using Bag-of-Keypoints
Tsutomu SAKUYAMA, Akira MATSUMURA,
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Abstract(in English) Bag-of-Keypoints (BoK) is an algorithm for image classification. The BoK is based on Scale-Invariant Feature Transform (SIFT) which is an algorithm for deteting keypoints and extracting local feature descriptors. In this paper, we proposed a novel approach for Automatic defect classification (ADC) using BoK. First, to remove a noise in the image, we used a background removing technique. Secondly, to detect the keypoints on subject in the image, we fix the SIFT parameter that is a best value for increasing the number of keyopints. In the result, we could classified the image at the same level as human in factory line.
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Keyword(in English) Bag-of-Keypoints / SIFT / ADC / semiconductor / SVM
Paper # PRMU2011-134
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Conference Information
Committee PRMU
Conference Date 2011/12/8(1days)
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Paper Information
Registration To Pattern Recognition and Media Understanding (PRMU)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Automatic defect classification using Bag-of-Keypoints
Sub Title (in English)
Keyword(1) Bag-of-Keypoints
Keyword(2) SIFT
Keyword(3) ADC
Keyword(4) semiconductor
Keyword(5) SVM
1st Author's Name Tsutomu SAKUYAMA
1st Author's Affiliation DAINIPPON SCREEN MFG. CO., LTD.()
2nd Author's Name Akira MATSUMURA
2nd Author's Affiliation DAINIPPON SCREEN MFG. CO., LTD.
Date 2011-12-16
Paper # PRMU2011-134
Volume (vol) vol.111
Number (no) 353
Page pp.pp.-
#Pages 6
Date of Issue