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Paper Abstract and Keywords
Presentation 2018-09-21 13:50
Multi-modal image registration based on local mutual information
Hiroaki Tani, Toshikazu Wada (Wakayama Univ) PRMU2018-65 IBISML2018-42
Abstract (in Japanese) (See Japanese page) 
(in English) In recent years, various types of images having different modality from visible-light images, such as infrared images, depth images, and so on, are widely used for specific tasks. Compared with visible light images, these images of the same scene have different intensities and gradient directions. Such features are not suitable for image registration. A representative multi-modal image registration proposed so far is based on mutual information between pixel values. This method maximizes mutual information between pixel values of two images. However, this method fails for image pairs having completely different modalities, such as thermal and visible-light images. This is because the pixel values between two images do not have one-to-one correspondence. For solving this problem, we propose an image registration method that maximizes ‘local mutual information’, which is the sum of mutual information values computed for local image blocks. This method is based on the observation that the one-to-one pixel value correspondence can stand for local image blocks. Through image registration experiments between visible-light image and FIR/depth images, we confirmed that our method works better than the mutual-information based method.
Keyword (in Japanese) (See Japanese page) 
(in English) Local mutual information / multi-modal images / registration / mutual information / / / /  
Reference Info. IEICE Tech. Rep., vol. 118, no. 219, PRMU2018-65, pp. 207-212, Sept. 2018.
Paper # PRMU2018-65 
Date of Issue 2018-09-13 (PRMU, IBISML) 
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 PRMU2018-65 IBISML2018-42

Conference Information
Committee PRMU IBISML IPSJ-CVIM  
Conference Date 2018-09-20 - 2018-09-21 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To PRMU 
Conference Code 2018-09-PRMU-IBISML-CVIM 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Multi-modal image registration based on local mutual information 
Sub Title (in English)  
Keyword(1) Local mutual information  
Keyword(2) multi-modal images  
Keyword(3) registration  
Keyword(4) mutual information  
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1st Author's Name Hiroaki Tani  
1st Author's Affiliation Wakayama University (Wakayama Univ)
2nd Author's Name Toshikazu Wada  
2nd Author's Affiliation Wakayama University (Wakayama Univ)
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Speaker Author-1 
Date Time 2018-09-21 13:50:00 
Presentation Time 10 minutes 
Registration for PRMU 
Paper # PRMU2018-65, IBISML2018-42 
Volume (vol) vol.118 
Number (no) no.219(PRMU), no.220(IBISML) 
Page pp.207-212 
#Pages 6 
Date of Issue 2018-09-13 (PRMU, IBISML) 

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