Paper Abstract and Keywords |
Presentation |
2014-06-24 10:05
Improved Interactive Medical Image Segmentation using Graph Cut and Superpixels Titinunt Kitrungrotsakul, Chunhua Dong, Xian-Hua Han, Yen-Wei Chen (Ritsumeikan Univ.) MI2014-25 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
Interactive image segmentation is a useful method for selecting object of interest in image. The variations of intensity and shape in medical images (organs) limits their ability to precisely localize object boundaries, computation time of segmentation and therefore lack of accuracy in the segmentation object. The popular interactive segmentation method is Graph Cut. The computation time of each cut is a key to make interactive image segmentation useful in real application usage. The generally of medical images are larger than 2D image. The lack of computation time will be occur if we try to apply segment out the object in the medical images using only Graph Cut. This paper presents a method for combining Graph Cut with SLIC (Simple Linear Iterative Clustering) to adapt to medical image. To be precise, our method is initialized by design superpixels with SLIC super pixels. With SLIC superpixels, we can increasing the accuracy and also boost up computation time of Graph Cut. The experiments show segmentation results with our method is significantly better than only using Graph Cut in term of accuracy and computation time. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
segmentation / superpixel / Graph Cut / SLIC / interactive segmentation / / / |
Reference Info. |
IEICE Tech. Rep., vol. 114, no. 103, MI2014-25, pp. 17-20, June 2014. |
Paper # |
MI2014-25 |
Date of Issue |
2014-06-17 (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) |
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MI2014-25 |
Conference Information |
Committee |
MI |
Conference Date |
2014-06-24 - 2014-06-24 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Lecture Hall, Building B of Basic Sciences, Kyushu University |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
Medical Image Analysis |
Paper Information |
Registration To |
MI |
Conference Code |
2014-06-MI |
Language |
English |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Improved Interactive Medical Image Segmentation using Graph Cut and Superpixels |
Sub Title (in English) |
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Keyword(1) |
segmentation |
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superpixel |
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Graph Cut |
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SLIC |
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interactive segmentation |
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1st Author's Name |
Titinunt Kitrungrotsakul |
1st Author's Affiliation |
Ritsumeikan University (Ritsumeikan Univ.) |
2nd Author's Name |
Chunhua Dong |
2nd Author's Affiliation |
Ritsumeikan University (Ritsumeikan Univ.) |
3rd Author's Name |
Xian-Hua Han |
3rd Author's Affiliation |
Ritsumeikan University (Ritsumeikan Univ.) |
4th Author's Name |
Yen-Wei Chen |
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Ritsumeikan University (Ritsumeikan Univ.) |
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Speaker |
Author-1 |
Date Time |
2014-06-24 10:05:00 |
Presentation Time |
20 minutes |
Registration for |
MI |
Paper # |
MI2014-25 |
Volume (vol) |
vol.114 |
Number (no) |
no.103 |
Page |
pp.17-20 |
#Pages |
4 |
Date of Issue |
2014-06-17 (MI) |
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