Brain image segmentation base on adapted Fuzzy Clustering method

摘要：

Automated segmentation of images has been considered an important intermediate processing task to extract semantic meaning from pixels. In general, the fuzzy c-means method (FCM) is highly effective for image segmentation. But for the conventional FCM image segmentation algorithm, cluster assignment is based solely on the distribution of pixel attributes in the feature space, and the spatial distribution of pixels in an image is not taken into consideration. In this paper, we present a novel FCM image segmentation scheme by utilizing global information. Experimental results showed the proposed method achieves competitive segmentation results compared to other FCM-based methods.

关键词： Fuzzy c-means method noise segmentation

作者: Yunjie Chen

作者单位: College of Math and Physics, Nanjing University of Information Science and Technology, Nanjing 210044, P.R.China

会议类型: 国际会议

会议名称: 2010 International Conference on Application of Mathematics and Physics(2010国际数理科学与气象学术研讨会暨2010空间天气学研讨会 AMP2010)

会议地点: 南京

会议语种:英文

页码: 719-722

在线出版日期: 2010-05-08（万方平台首次上网日期，不代表论文的发表时间）