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Paper Abstract and Keywords
Presentation 2018-11-30 14:25
Classification of man-made objects and nature-made objects in images using neural network
Keisuke Watanabe, Yukinori Suzuki (Muroran IT) CS2018-84 IE2018-63
Abstract (in Japanese) (See Japanese page) 
(in English) Classification of objects into man-made objects and nature-made objects is important for accurate recognition of objects in natural images. We studied classification using ICA (Independent Component Analysis) and neural network in the present study. For classification, an image is divided into image blocks (block of pixels). ICA is useful for classification since it is able to catch geometrical features of man-made objects. ICA bases were computed from blocks of man-made objects and image blocks of nature-made objects. An image blocks is reconstructed by linear combination of ICA bases. Weights of coefficients were used to reconstruct image blocks from ICA bases as feature for classification. For image blocks of man-made objects, weights of coefficients were computed by using both ICA bases obtained from man-made objects and ICA bases obtained from nature-made objects. These weight of coefficients were learned by a neural network. In the same manner, for image blocks of nature-made objects, weights of coefficients were also learned by the neural network. We also prepare image blocks for the test. We carried out classification experiments using natural images in which there were both man-made objects and nature-made objects. The ground truth was made by visual inspection. As a result of experiment, classification accuracy was more than 90%.
Keyword (in Japanese) (See Japanese page) 
(in English) man-made objects / nature-made objects / ICA / Neural Network / object recognition / / /  
Reference Info. IEICE Tech. Rep., vol. 118, no. 329, IE2018-63, pp. 105-110, Nov. 2018.
Paper # IE2018-63 
Date of Issue 2018-11-22 (CS, IE) 
ISSN Print edition: ISSN 0913-5685  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)
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Conference Information
Committee CS IE IPSJ-AVM ITE-BCT  
Conference Date 2018-11-29 - 2018-11-30 
Place (in Japanese) (See Japanese page) 
Place (in English) Tokushima University (Memorial Hall of Almuni(Engineering)) 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Image coding, Communications and streaming technologies, etc. 
Paper Information
Registration To IE 
Conference Code 2018-11-CS-IE-AVM-BCT 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Classification of man-made objects and nature-made objects in images using neural network 
Sub Title (in English)  
Keyword(1) man-made objects  
Keyword(2) nature-made objects  
Keyword(3) ICA  
Keyword(4) Neural Network  
Keyword(5) object recognition  
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1st Author's Name Keisuke Watanabe  
1st Author's Affiliation Muroran Institute of Technology (Muroran IT)
2nd Author's Name Yukinori Suzuki  
2nd Author's Affiliation Muroran Institute of Technology (Muroran IT)
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Speaker
Date Time 2018-11-30 14:25:00 
Presentation Time 25 
Registration for IE 
Paper # IEICE-CS2018-84,IEICE-IE2018-63 
Volume (vol) IEICE-118 
Number (no) no.328(CS), no.329(IE) 
Page pp.105-110 
#Pages IEICE-6 
Date of Issue IEICE-CS-2018-11-22,IEICE-IE-2018-11-22 


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