FCM-based image segmentation with kernel functions

被引：1

作者：

Tang Xinting ^{[1
]}

Zhang Xiaofeng ^{[1
]}

Gao Hongjiang ^{[1
]}

Liu Kun ^{[2
]}

机构：

[1] Ludong Univ, Sch Informat & Elect Engn, Yantai 264025, Peoples R China

[2] Guangzhou Univ, Dept Comp Sci, Guangzhou 510006, Guangdong, Peoples R China

来源：

2017 IEEE INTERNATIONAL CONFERENCE ON COMPUTATIONAL SCIENCE AND ENGINEERING (CSE) AND IEEE/IFIP INTERNATIONAL CONFERENCE ON EMBEDDED AND UBIQUITOUS COMPUTING (EUC), VOL 1 | 2017年

关键词：

Image segmentation; Fuzzy C-means; kernel function; C-MEANS ALGORITHM;

D O I：

10.1109/CSE-EUC.2017.186

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

Image segmentation is an important problem in image processing and object recognition, and is one well-known bottleneck for further applications. Fuzzy C-means, as one typical clustering algorithm in pattern recognition, has been improved for image segmentation in many aspects. Aiming at the distance form in FCM, this paper proposes to incorporate FCM with kernel functions, which will make it insensitive to noise and other artifacts. Experiments show that the proposed algorithm can retrieve better results than other improved algorithms.

引用

页码：916 / 919

页数：4

共 50 条

[31] SAR image segmentation based on improved FCM and MRF
Han Z.
Wang C.
Xi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering and Electronics, 2019, 41 (08): : 1726 - 1734
[32] Sonar image segmentation based on MAR and FCM clustering
Guo, H. (ghtao2005@sina.com), 1600, Science Press (34):
[33] An automatic image segmentation algorithm based on improved FCM
Zhou, X.-M. (zhouxm@scut.edu.cn), 1600, South China University of Technology (42):
[34] Image Segmentation Based on Bacterial Foraging and FCM Algorithm
Mo, Hongwei
Yin, Yujing
INTERNATIONAL JOURNAL OF SWARM INTELLIGENCE RESEARCH, 2011, 2 (03) : 16 - 28
[35] 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
[36] Robust image segmentation using FCM with spatial constraints based on new kernel-induced distance measure
Chen, SC
Zhang, DQ
IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS, 2004, 34 (04): : 1907 - 1916
[37] FCM-Based Approach for Locating Visible Video Watermarks
Embaby, A. Al.
Shalaby, Mohamed A. Wahby
Elsayed, Khaled Mostafa
SYMMETRY-BASEL, 2020, 12 (03):
[38] A FCM-based deterministic forecasting model for fuzzy time series
Li, Sheng-Tun
Cheng, Yi-Chung
Lin, Su-Yu
COMPUTERS & MATHEMATICS WITH APPLICATIONS, 2008, 56 (12) : 3052 - 3063
[39] FCM-based model selection algorithms for determining the number of clusters
Sun, HJ
Wang, SR
Jiang, QS
PATTERN RECOGNITION, 2004, 37 (10) : 2027 - 2037
[40] FCM-based clustering algorithm ensemble for large data sets
Li, Jie
Gao, Xinbo
Tian, Chunna
FUZZY SYSTEMS AND KNOWLEDGE DISCOVERY, PROCEEDINGS, 2006, 4223 : 559 - 567

← 1 2 3 4 5 →