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ASME Press Select Proceedings

International Conference on Mechanical Engineering and Technology (ICMET-London 2011)

Editor
Garry Lee
Garry Lee
Information Engineering Research Institute
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ISBN:
9780791859896
No. of Pages:
906
Publisher:
ASME Press
Publication date:
2011

This paper discusses the application of Culture Algorithm to Fuzzy C-means clustering. The aim is to improve the quality of image segmentation. Fuzzy C-means clustering algorithm as one of the fuzzy clustering is widely used in image segmentation. We use Culture Algorithm to initialize centre of clusters to make Fuzzy C-means robust against initialization. The proposed method can effectively avoid being trapped into local optimum as well. The analysis has shown that Fuzzy Clustering based on Culture Algorithm can obtain better total clustering accuracy with high efficiency, and the quality of image segmentation is improved.

Abstract
Keywords
Introduction
Fuzzy Clustering and Image Segmentation
Improved FCM Clustering Algorithm
Conclusion
Acknowledgment
References
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