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Paper Abstract and Keywords
Presentation 2024-02-19 10:30
A Proposal of an Automatic Power Line Removal Method on Images Using Semantic Segmentation and U-Net Trained by the Semantics
Touma Saito, Kazunori Uruma (Kogakuin Univ.) ITS2023-46 IE2023-35
Abstract (in Japanese) (See Japanese page) 
(in English) In recent years, image processing technology and hardware performance have improved, making it possible to easily process images on devices like a smartphone. In addition, the increasing use of social networking services has increased the opportunities to share photos, and technologies are needed to process images more beautifully. One of the technologies for beautifully processing landscape images is the automatic removal of power lines in the image. However, this technology has a problem that the removal of power lines becomes difficult when it have complex backgrounds. In this paper, our objective is to get a beautifully landscape image by automatic power lines removal method from a landscape image taken from the ground. First, the input landscape image is classified by semantic segmentation, and power lines are detected by U-Net trained for each classification features. Secondly, the image is inpainted by the detected power lines regions as missing portions. We propose the method that composes multiple inpainting methods based on classified features of regions at that image inpainting. Evaluation by numerical experiments showed the superiority of the existing method. However, visual evaluation shows the superiority of our method.
Keyword (in Japanese) (See Japanese page) 
(in English) Blind inpainting / CNN / Power line detection / / / / /  
Reference Info. IEICE Tech. Rep., vol. 123, no. 381, IE2023-35, pp. 1-6, Feb. 2024.
Paper # IE2023-35 
Date of Issue 2024-02-12 (ITS, IE) 
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 ITS2023-46 IE2023-35

Conference Information
Committee ITS IE ITE-MMS ITE-ME ITE-AIT  
Conference Date 2024-02-19 - 2024-02-20 
Place (in Japanese) (See Japanese page) 
Place (in English) Hokkaido Univ. 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Image Processing, etc. 
Paper Information
Registration To IE 
Conference Code 2024-02-ITS-IE-MMS-ME-AIT 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A Proposal of an Automatic Power Line Removal Method on Images Using Semantic Segmentation and U-Net Trained by the Semantics 
Sub Title (in English)  
Keyword(1) Blind inpainting  
Keyword(2) CNN  
Keyword(3) Power line detection  
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1st Author's Name Touma Saito  
1st Author's Affiliation Kogakuin University (Kogakuin Univ.)
2nd Author's Name Kazunori Uruma  
2nd Author's Affiliation Kogakuin University (Kogakuin Univ.)
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Speaker Author-1 
Date Time 2024-02-19 10:30:00 
Presentation Time 15 minutes 
Registration for IE 
Paper # ITS2023-46, IE2023-35 
Volume (vol) vol.123 
Number (no) no.380(ITS), no.381(IE) 
Page pp.1-6 
#Pages 6 
Date of Issue 2024-02-12 (ITS, IE) 

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