Presentation | 2011-12-16 Automatic defect classification using Bag-of-Keypoints Tsutomu SAKUYAMA, Akira MATSUMURA, |
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Abstract(in Japanese) | (See Japanese page) |
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. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Bag-of-Keypoints / SIFT / ADC / semiconductor / SVM |
Paper # | PRMU2011-134 |
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Committee | PRMU |
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Conference Date | 2011/12/8(1days) |
Place (in Japanese) | (See Japanese page) |
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Registration To | Pattern Recognition and Media Understanding (PRMU) |
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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 |
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