doi: 10.4304/jsw.9.8.1985-1990
An Improved Image Segmentation Algorithm Based on GPU Parallel Computing
- 1 College of Mathematics & Computer Science, Mianyang Normal University, Sichuan Province, P.R.China
- 2 School of Software Engineering, Pingdingshan University, Henan Province, P.R.China
Abstract
In the process of image segmentation, the classic Fuzzy C-Means (FCM) algorithm is time-consuming and depends heavily on initialization center. Based on Graphic Processing Unit (GPU), this paper proposes a novel FCM algorithm by improving the computational formulas of membership degree and the update criterion of cluster centers. Our algorithm can initialize cluster centers purposefully and further optimize them according to the analysis on the thread model of the graphic hardware. The compared experimental results with the classic FCM algorithm show that our algorithm has obvious superiority in improving image segmentation quality and efficiency.
Keywords
- Image Segmentation
- Graphic Processing U
How to Cite
Haiyang Li, Zhaofeng Yang, and Hongzhou He, "An Improved Image Segmentation Algorithm Based on GPU Parallel Computing," Journal of Software, vol. 9, no. 8, pp. 1985-1990, 2014. https://doi.org/ 10.4304/jsw.9.8.1985-1990
Copyright & License
Copyright © 2014 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).