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Paper Abstract and Keywords
Presentation 2017-01-18 14:15
A Study of Image Binarization based on Multiple Resolution Analysis of Digital Flow Analysis
Kenji Honda (TUMST), Makoto Sato (TITECH) MI2016-109
Abstract (in Japanese) (See Japanese page) 
(in English) Recently, research fields called bioimage informatics for obtaining quantitative data of cell images by a computer has grown up. In order to analyze cell images, it is first necessary to segment the cells from the background. Conventionally, a threshold-based binarization method is used for segmenting a cell image, but it is sometimes difficult to successfully extract it based on the statistical properties of the image. Therefore, we introduced an index of a stable boundary focusing on the geometrical structure of the image and proposed a binarization method that selects a scale whose boundaries are all surrounded by stable boundaries. However, with the conventional method, since a scale is selected in which all boundaries of the object are covered with stable boundaries, there is a problem that it can be cut out only with a coarse structure. In this article, we focus on the hierarchical structure of the object in the scale space and propose a highly accurate binarization method independent of spatial stability of different boundaries for each scale.
Keyword (in Japanese) (See Japanese page) 
(in English) Image Binarization / Digital Flow / Cell Images / Scale-Space / / / /  
Reference Info. IEICE Tech. Rep., vol. 116, no. 393, MI2016-109, pp. 145-150, Jan. 2017.
Paper # MI2016-109 
Date of Issue 2017-01-11 (MI) 
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)
Download PDF MI2016-109

Conference Information
Committee MI  
Conference Date 2017-01-18 - 2017-01-18 
Place (in Japanese) (See Japanese page) 
Place (in English) Tenbusu Naha 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Medical Image Engineering, Analysis, Recognition, etc. 
Paper Information
Registration To MI 
Conference Code 2017-01-MI 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A Study of Image Binarization based on Multiple Resolution Analysis of Digital Flow Analysis 
Sub Title (in English)  
Keyword(1) Image Binarization  
Keyword(2) Digital Flow  
Keyword(3) Cell Images  
Keyword(4) Scale-Space  
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1st Author's Name Kenji Honda  
1st Author's Affiliation Tokyo University of Marine Science and Technology (TUMST)
2nd Author's Name Makoto Sato  
2nd Author's Affiliation Tokyo Institute of Technology (TITECH)
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Speaker Author-1 
Date Time 2017-01-18 14:15:00 
Presentation Time 40 minutes 
Registration for MI 
Paper # MI2016-109 
Volume (vol) vol.116 
Number (no) no.393 
Page pp.145-150 
#Pages 6 
Date of Issue 2017-01-11 (MI) 

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