Paper Abstract and Keywords |
Presentation |
2009-02-05 15:45
Perceptual Segmentation of Natural Color Images by Fuzzy Split-and-Merge Algorithm and Its Application to Dermoscopy Images Shogo Yamauchi, Tatsuya Higashikawa, Takehiro Harada, Junji Maeda (Muroran Inst. of Tech.) ITS2008-76 IE2008-246 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
The purpose of this paper is perceptual segmentation of natural color images and its application to the segmentation of dermoscopy images, which are closeup images of pigmented skin lesions. We propose the fuzzy split-and-merge algorithm that integrates the L*a*b* components as color features and the statistical geometrical features as texture features by
using fuzzy inference. The proposed method is composed of four stages: simple splitting, local merging, global merging and boundary refinement. We perform the comparative experiments of the proposed method in comparison with the human segmented results to dermostrate the effectiveness of the proposed method. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Perceptual segmentation / fuzzy split-and-merge algorithm / statistical geometrical features / dermoscopy images / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 108, pp. 239-244, Feb. 2009. |
Paper # |
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Date of Issue |
2009-01-28 (ITS, IE) |
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) |
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ITS2008-76 IE2008-246 |
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