Paper Abstract and Keywords |
Presentation |
2012-01-20 11:25
[Poster Presentation]
Computerized extraction of vessel regions in retinal fundus images
-- Performance evaluation using DRIVE Database -- Shota Uruma (ONCT), Yoshikazu Uchiyama (Kumamoto Univ.), Prochazka Zdenek (ONCT), Yuji Hatanaka (Univ. of Shiga Pref.), Chisako Muramatsu, Takeshi Hara, Hiroshi Fujita (Gifu Univ.), Junji Shiraishi (Kumamoto Univ.) MI2011-134 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
Blood vessel extraction is one important component technology of computer-aided diagnosis for the retinal fundus images. We developed a morphology filter bank for the enhancement of vessel regions in retinal fundus images. By using morphology filter bank, nodular patterns and linear patterns of various sizes can be enhanced. We applied our method to 40 images in the DRIVE database. The results indicated that mean area under the ROC curve was 0.919. Therefore, our method would be useful for the extraction of blood vessels in the retinal fundus images. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Retinal fundus image / Vessel Extraction / Morphology Filter bank / Computer-aided diagnosis / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 111, no. 389, MI2011-134, pp. 315-318, Jan. 2012. |
Paper # |
MI2011-134 |
Date of Issue |
2012-01-12 (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 |
MI2011-134 |
|