An Improved Image Segmentation Algorithm Based on GPU Parallel Computing
College of Mathematics & Computer Science, Mianyang Normal University, Sichuan Province, P.R.China
Journal of Software, Vol 9, No 8 (2014), 1985-1990, 2014
@article{li2014improved,
title={An Improved Image Segmentation Algorithm Based on GPU Parallel Computing},
author={Li, Haiyang and Yang, Zhaofeng and He, Hongzhou},
journal={Journal of Software},
volume={9},
number={8},
pages={1985–1990},
year={2014}
}
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.
August 10, 2014 by hgpu
