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Paper Abstract and Keywords
Presentation 2019-10-10 14:50
Segnet and U-Net Implementations for Water Hyacinth Semantic Segmentation in Thailand
Supatta Viriyavisuthisakul, Parinya Sanguansat (PIM), Toshihiko Yamasaki (UTokyo) MVE2019-25
Abstract (in Japanese) (See Japanese page) 
(in English) Water Hyacinth is an aquatic weed that can spread very quickly. Normally, it can be found in a dam or river. Water Hyacinth is one of the main problems in irrigation management, water transportation, and agriculture. That makes it is one of the national problems, especially Thailand. To plan the solution for this problem, quantitative measurement of Water Hyacinth in many areas is required. Semantic segmentation with deep learning is very accurate now, and it can be used in this task. In this paper, the semantic segmentation is applied to segment the Water Hyacinth in the images. Segnet and U-Net were compared. Both of them use convolutional layers but in different architectures. With our limited resources, we found that U-Net is more suitable in this task than Segnet in both computational time and performance.
Keyword (in Japanese) (See Japanese page) 
(in English) Water Hyacinth / Semantic Segmentation / Segnet / U-Net / / / /  
Reference Info. IEICE Tech. Rep., vol. 119, no. 222, MVE2019-25, pp. 9-12, Oct. 2019.
Paper # MVE2019-25 
Date of Issue 2019-10-03 (MVE) 
ISSN Print edition: ISSN 0913-5685  Online edition: ISSN 2432-6380
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 MVE  
Conference Date 2019-10-10 - 2019-10-11 
Place (in Japanese) (See Japanese page) 
Place (in English)  
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Paper Information
Registration To MVE 
Conference Code 2019-10-MVE 
Language English 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Segnet and U-Net Implementations for Water Hyacinth Semantic Segmentation in Thailand 
Sub Title (in English)  
Keyword(1) Water Hyacinth  
Keyword(2) Semantic Segmentation  
Keyword(3) Segnet  
Keyword(4) U-Net  
1st Author's Name Supatta Viriyavisuthisakul  
1st Author's Affiliation Panyapiwat Institute of Management (PIM)
2nd Author's Name Parinya Sanguansat  
2nd Author's Affiliation Panyapiwat Institute of Management (PIM)
3rd Author's Name Toshihiko Yamasaki  
3rd Author's Affiliation The University of Tokyo (UTokyo)
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Date Time 2019-10-10 14:50:00 
Presentation Time 25 
Registration for MVE 
Paper # IEICE-MVE2019-25 
Volume (vol) IEICE-119 
Number (no) no.222 
Page pp.9-12 
#Pages IEICE-4 
Date of Issue IEICE-MVE-2019-10-03 

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