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Paper Abstract and Keywords
Presentation 2022-01-20 09:50
Classification method for painting defects using a two-step deep learning
Kazune Adachi, Takahiro Natori, Naoyuki Aikawa (Tokyo Univ. of Science) CAS2021-51 ICTSSL2021-28
Abstract (in Japanese) (See Japanese page) 
(in English) Recently, inspection methods for defect detection and classification using deep learning have been proposed. In this paper, we propose a classification method for painting defects using a two-step deep learning. In this method, the first step is to determine whether the defect is a painting defects or not, and the second step is to determine the kind of painting defect. We propose a two-step classification method using deep learning. We show that the accuracy of the proposed method is higher than that of the previously proposed method, which classifies all kinds of painting defects at once.
Keyword (in Japanese) (See Japanese page) 
(in English) Painting defects / Visual inspection / Deep learning / Image processing / Two-step classification / / /  
Reference Info. IEICE Tech. Rep., vol. 121, no. 325, CAS2021-51, pp. 1-5, Jan. 2022.
Paper # CAS2021-51 
Date of Issue 2022-01-13 (CAS, ICTSSL) 
ISSN Online edition: ISSN 2432-6380
Copyright
and
reproduction		 All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
Download PDF CAS2021-51 ICTSSL2021-28

Conference Information
Committee ICTSSL CAS  
Conference Date 2022-01-20 - 2022-01-21 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To CAS 
Conference Code 2022-01-ICTSSL-CAS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Classification method for painting defects using a two-step deep learning 
Sub Title (in English)  
Keyword(1) Painting defects  
Keyword(2) Visual inspection  
Keyword(3) Deep learning  
Keyword(4) Image processing  
Keyword(5) Two-step classification  
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Keyword(7)  
Keyword(8)  
1st Author's Name Kazune Adachi  
1st Author's Affiliation Tokyo University of Science (Tokyo Univ. of Science)
2nd Author's Name Takahiro Natori  
2nd Author's Affiliation Tokyo University of Science (Tokyo Univ. of Science)
3rd Author's Name Naoyuki Aikawa  
3rd Author's Affiliation Tokyo University of Science (Tokyo Univ. of Science)
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Speaker Author-1 
Date Time 2022-01-20 09:50:00 
Presentation Time 25 minutes 
Registration for CAS 
Paper # CAS2021-51, ICTSSL2021-28 
Volume (vol) vol.121 
Number (no) no.325(CAS), no.326(ICTSSL) 
Page pp.1-5 
#Pages 5 
Date of Issue 2022-01-13 (CAS, ICTSSL) 

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