Research on Fuzzy Clustering Image Segmentation Algorithm based on GA and Gray Histogram

DOI

10.2991/icmmita-15.2015.106How to use a DOI?

Keywords

Image Segmentation; Genetic Algorithm; FCM; Gray Histogram

Abstract

When the traditional FCM algorithm is applied to image segmentation, it is sensitive to the selection of clustering center and can not automatically determine the number of clustering center. According to these problems, this paper proposes a fuzzy clustering image segmentation algorithm based on genetic algorithm and gray histogram. This algorithm uses the global search characters of genetic algorithm to avoid falling into local optimal solution, and the objective function is optimized and the number of the cluster center is determined by gray histogram. Experimental results show that the proposed method has strong robustness and good segmentation effect.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Baoyi Wang
AU  - Long Kang
AU  - Shaomin Zhang
PY  - 2015/11
DA  - 2015/11
TI  - Research on Fuzzy Clustering Image Segmentation Algorithm based on GA and Gray Histogram
BT  - Proceedings of the 2015 3rd International Conference on Machinery, Materials and Information Technology Applications
PB  - Atlantis Press
SP  - 550
EP  - 555
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmmita-15.2015.106
DO  - 10.2991/icmmita-15.2015.106
ID  - Wang2015/11
ER  -