Research on Fuzzy Clustering Image Segmentation Algorithm based on GA and Gray Histogram
Baoyi Wang, Long Kang, Shaomin Zhang
Available Online November 2015.
- 10.2991/icmmita-15.2015.106How to use a DOI?
- Image Segmentation; Genetic Algorithm; FCM; Gray Histogram
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.
- © 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/).
Cite this article
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 -