Information: Join today and make your research activities more affordable! Technical workshop participation fees and annual registration fees are available at member rates.
Notice: [Important] Announcement of Changes to Registration Fee Payment and Manuscript Upload Procedures for IEICE Technical Meetings
IEICE Technical Committee Submission System
Conference Paper's Information		 Online Proceedings
[Sign in]
Tech. Rep. Archives
 Go Top Page Go Previous   [Japanese] / [English] 

Paper Abstract and Keywords
Presentation 2015-03-02 16:00
Segmentation of Blood Vessels in Retinal Fundus Images using Morphology Filter Bank and Artificial Neural Network
Tomoki Inoue, Ryutaro Hashimoto, Yoshikazu Uchiyama, Keiichi Uchimura, Gou Koutaki (Kumamoto Univ.) MI2014-83
Abstract (in Japanese) (See Japanese page) 
(in English) We propose a method for segmentation of blood vessels in retinal fundus images. In this method, we use a morphology filter bank for extracting line patterns which are the initial candidates of blood vessels. An artificial neural network (ANN) is subsequently employed for removing false positives and segmenting blood vessels in the output image obtained by the morphology filter bank. Morphology filter bank is characterized by the good reproducibility of the shapes of extracted patterns. We evaluated our method using training images and test images of DRIVE database. The result indicated that accuracy was 0.9417.
Keyword (in Japanese) (See Japanese page) 
(in English) Retinal fundus image / Mathematical morphology / Artificial Neural Network / / / / /  
Reference Info. IEICE Tech. Rep., vol. 114, no. 482, MI2014-83, pp. 137-141, March 2015.
Paper # MI2014-83 
Date of Issue 2015-02-23 (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 MI2014-83

Conference Information
Committee MI  
Conference Date 2015-03-02 - 2015-03-03 
Place (in Japanese) (See Japanese page) 
Place (in English) Hotel Miyahira 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Creation of multidisciplinary computational anatomy, Forefront of medical image engineering, General topics in medical imaging 
Paper Information
Registration To MI 
Conference Code 2015-03-MI 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Segmentation of Blood Vessels in Retinal Fundus Images using Morphology Filter Bank and Artificial Neural Network 
Sub Title (in English)  
Keyword(1) Retinal fundus image  
Keyword(2) Mathematical morphology  
Keyword(3) Artificial Neural Network  
Keyword(4)  
Keyword(5)  
Keyword(6)  
Keyword(7)  
Keyword(8)  
1st Author's Name Tomoki Inoue  
1st Author's Affiliation Kumamoto University (Kumamoto Univ.)
2nd Author's Name Ryutaro Hashimoto  
2nd Author's Affiliation Kumamoto University (Kumamoto Univ.)
3rd Author's Name Yoshikazu Uchiyama  
3rd Author's Affiliation Kumamoto University (Kumamoto Univ.)
4th Author's Name Keiichi Uchimura  
4th Author's Affiliation Kumamoto University (Kumamoto Univ.)
5th Author's Name Gou Koutaki  
5th Author's Affiliation Kumamoto University (Kumamoto Univ.)
6th Author's Name  
6th Author's Affiliation ()
7th Author's Name  
7th Author's Affiliation ()
8th Author's Name  
8th Author's Affiliation ()
9th Author's Name  
9th Author's Affiliation ()
10th Author's Name  
10th Author's Affiliation ()
11th Author's Name  
11th Author's Affiliation ()
12th Author's Name  
12th Author's Affiliation ()
13th Author's Name  
13th Author's Affiliation ()
14th Author's Name  
14th Author's Affiliation ()
15th Author's Name  
15th Author's Affiliation ()
16th Author's Name  
16th Author's Affiliation ()
17th Author's Name  
17th Author's Affiliation ()
18th Author's Name  
18th Author's Affiliation ()
19th Author's Name  
19th Author's Affiliation ()
20th Author's Name  
20th Author's Affiliation ()
21st Author's Name  
21st Author's Affiliation ()
22nd Author's Name  
22nd Author's Affiliation ()
23rd Author's Name  
23rd Author's Affiliation ()
24th Author's Name  
24th Author's Affiliation ()
25th Author's Name  
25th Author's Affiliation ()
26th Author's Name / /
26th Author's Affiliation ()
()
27th Author's Name / /
27th Author's Affiliation ()
()
28th Author's Name / /
28th Author's Affiliation ()
()
29th Author's Name / /
29th Author's Affiliation ()
()
30th Author's Name / /
30th Author's Affiliation ()
()
31st Author's Name / /
31st Author's Affiliation ()
()
32nd Author's Name / /
32nd Author's Affiliation ()
()
33rd Author's Name / /
33rd Author's Affiliation ()
()
34th Author's Name / /
34th Author's Affiliation ()
()
35th Author's Name / /
35th Author's Affiliation ()
()
36th Author's Name / /
36th Author's Affiliation ()
()
Speaker Author-1 
Date Time 2015-03-02 16:00:00 
Presentation Time 12 minutes 
Registration for MI 
Paper # MI2014-83 
Volume (vol) vol.114 
Number (no) no.482 
Page pp.137-141 
#Pages 5 
Date of Issue 2015-02-23 (MI) 

[Return to Top Page]

[Return to IEICE Web Page]
The Institute of Electronics, Information and Communication Engineers (IEICE), Japan