@inproceedings{5592fe0727a34a0bb2e8d6684deeeb46,
title = "FCM-based image segmentation with kernel functions",
abstract = "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.",
keywords = "Fuzzy C-means, Image segmentation, kernel function",
author = "Tang Xinting and Zhang Xiaofeng and Gao Hongjiang and Liu Kun",
note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 20th IEEE International Conference on Computational Science and Engineering and 15th IEEE/IFIP International Conference on Embedded and Ubiquitous Computing, CSE and EUC 2017 ; Conference date: 21-07-2017 Through 24-07-2017",
year = "2017",
month = aug,
day = "8",
doi = "10.1109/CSE-EUC.2017.186",
language = "英语",
series = "Proceedings - 2017 IEEE International Conference on Computational Science and Engineering and IEEE/IFIP International Conference on Embedded and Ubiquitous Computing, CSE and EUC 2017",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "916--919",
booktitle = "Proceedings - 2017 IEEE International Conference on Computational Science and Engineering and IEEE/IFIP International Conference on Embedded and Ubiquitous Computing, CSE and EUC 2017",
address = "美国",
}