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Paper Abstract and Keywords
Presentation 2022-12-03 11:00
Image Classification Using Gabor Filters as Preprocessing for CNNs
Akito Morita, Hirotsugu Okuno (OIT) MBE2022-32 NC2022-54
Abstract (in Japanese) (See Japanese page) 
(in English) Image preprocessing is a promising approach to improve accuracy in image classification using convolutional neural networks (CNNs). In this study, we focused on Gabor filters, which are the model of preprocessing in biological visual systems, and developed an image classification algorithm that uses these filters as preprocessing for CNNs. To evaluate this algorithm, we compared the results of the algorithms with and without image preprocessing that employs Gabor filters. The STL-10 and CIFAR-10 datasets were used for training and inference. We evaluated the averaged accuracy of CNNs whose hyperparameters were randomly determined so that the results are independent of the values of hyperparameters.The results showed that Gabor filtering increased the classification accuracy.
Keyword (in Japanese) (See Japanese page) 
(in English) convolutional neural network / Gabor filter / image classification / bio-inspired / / / /  
Reference Info. IEICE Tech. Rep., vol. 122, no. 292, NC2022-54, pp. 43-46, Dec. 2022.
Paper # NC2022-54 
Date of Issue 2022-11-26 (MBE, NC) 
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 MBE2022-32 NC2022-54

Conference Information
Committee MBE NC  
Conference Date 2022-12-03 - 2022-12-03 
Place (in Japanese) (See Japanese page) 
Place (in English) Osaka Electro-Communication University 
Topics (in Japanese) (See Japanese page) 
Topics (in English) NC, ME, etc. 
Paper Information
Registration To NC 
Conference Code 2022-12-MBE-NC 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Image Classification Using Gabor Filters as Preprocessing for CNNs 
Sub Title (in English)  
Keyword(1) convolutional neural network  
Keyword(2) Gabor filter  
Keyword(3) image classification  
Keyword(4) bio-inspired  
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1st Author's Name Akito Morita  
1st Author's Affiliation Osaka Institute of Technology (OIT)
2nd Author's Name Hirotsugu Okuno  
2nd Author's Affiliation Osaka Institute of Technology (OIT)
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Speaker Author-1 
Date Time 2022-12-03 11:00:00 
Presentation Time 25 minutes 
Registration for NC 
Paper # MBE2022-32, NC2022-54 
Volume (vol) vol.122 
Number (no) no.291(MBE), no.292(NC) 
Page pp.43-46 
#Pages 4 
Date of Issue 2022-11-26 (MBE, NC) 

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