Improvement and application of medical image segmentation method based on FCM

被引：0

作者：

Chen Z. ^{[1
]}

Yang H. ^{[1
]}

Zhang G. ^{[1
]}

Shi W. ^{[1
]}

机构：

[1] Changchun University of Science and Technology, Changchun, Jilin

来源：

Advances in Intelligent and Soft Computing | 2011年 / 105卷

关键词：

FCM; Image Segmentation; Medical Image; Membership;

D O I：

10.1007/978-3-642-23756-0_70

中图分类号：

学科分类号：

摘要：

FCM algorithm is a classic algorithm applied to image segmentation during the processing of medical images. This article aims at a further study of the traditional FCM algorithm, including testing and improving the cluster category, weighting exponent and other elements which may influence the result of image segmentation. And for the image segmentation steps of FCM algorithm, we correct the maximum fuzzy membership of samples in the iteration. Then, we compare and analyse the results of the traditional algorithm and the improved one. The outcome demonstrates that the improved algorithm greatly improves the result of image segmentation. The improved algorithm makes an ideal achievement in practise. © 2011 Springer-Verlag Berlin Heidelberg.

引用

页码：435 / 439

页数：4

共 50 条

[41] FCM-based image segmentation with kernel functions
Tang Xinting
Zhang Xiaofeng
Gao Hongjiang
Liu Kun
2017 IEEE INTERNATIONAL CONFERENCE ON COMPUTATIONAL SCIENCE AND ENGINEERING (CSE) AND IEEE/IFIP INTERNATIONAL CONFERENCE ON EMBEDDED AND UBIQUITOUS COMPUTING (EUC), VOL 1, 2017, : 916 - 919
[42] Colony image segmentation based on kernel spatial FCM
Wang Weixing
Cui Bing
FOURTH INTERNATIONAL CONFERENCE ON PHOTONICS AND IMAGING IN BIOLOGY AND MEDICINE, PTS 1 AND 2, 2006, 6047
[43] Similar class merging based FCM for image segmentation
Yi, Yu-Feng
Gao, Li-Qun
Guo, Li
Dongbei Daxue Xuebao/Journal of Northeastern University, 2012, 33 (07): : 930 - 933
[44] FCM Segmentation Algorithm Research for CT Cerebrovascular medical image based on Sober extraction algorithm
Liu, Bin
Wang, Long
Liu, Hai-yan
INFORMATION TECHNOLOGY APPLICATIONS IN INDUSTRY, PTS 1-4, 2013, 263-266 : 2203 - +
[45] Unsupervised ACO: Applying FCM as a supervisor for ACO in medical image segmentation
Biniaz, Abbas
Abbasi, Ataollah
JOURNAL OF INTELLIGENT & FUZZY SYSTEMS, 2014, 27 (01) : 407 - 417
[46] Lattice Boltzmann Method based Medical Image Segmentation
Chen, Yu
PROCEEDINGS OF THE 2009 2ND INTERNATIONAL CONGRESS ON IMAGE AND SIGNAL PROCESSING, VOLS 1-9, 2009, : 1822 - 1826
[47] A medical image segmentation method based on watershed transform
Chen, JX
Liu, S
FIFTH INTERNATIONAL CONFERENCE ON COMPUTER AND INFORMATION TECHNOLOGY - PROCEEDINGS, 2005, : 634 - 638
[48] Segmentation method for medical image based on improved GrabCut
Lu, Yu-Wei
Jiang, Jian-Guo
Qi, Mei-Bin
Zhan, Shu
Yang, Jie
INTERNATIONAL JOURNAL OF IMAGING SYSTEMS AND TECHNOLOGY, 2017, 27 (04) : 383 - 390
[49] Medical image segmentation method based on information fusion
Yu, S.
Ma, F.-Y.
Jisuanji Fuzhu Sheji Yu Tuxingxue Xuebao/Journal of Computer-Aided Design and Computer Graphics, 2001, 13 (12): : 1073 - 1076
[50] Medical image segmentation using the combination of watershed and FCM clustering algorithms
Department of Information Management, Chia Nan University of Pharmacy and Science, No. 60, Erh-Jen Road, Sec. 1, Jen-Te, Tainan, Taiwan
不详
不详
Int. J. Innov. Comput. Inf. Control, 9 (5255-5267):

← 1 2 3 4 5 →