Fuzzy C-Mean Clustering Segmentation Algorithm Research for Sport Graphics based on Wavelet Transform

摘要：

In this paper, linking with the basic principle of FCM (Fuzzy c-means clustering) algorithm, on the basis of theory research, a method of the cluster analysis of FCM based on wavelet transform is proposed. First, the approximate optimal solution obtained by the FCM algorithm is taken as the original value, then combined with intensitytexture-position feature space in order to produce connected regions shown in the image. The final segmentation result is achieved at last. The experiment results prove that in the view of the sport image segmentation, this algorithm provides fast segmentation with high perceptual segmentation quality.

关键词： Image segmentation FCM wavelet transform sport graphics

作者: Yi Wang Long Wang Bin Liu

作者单位: Physical Department, Hebei University, Baoding 071002, China College of Electronic and Informational Engineering, HeBei University, Baoding 071002, China

会议类型: 国际会议

会议名称: 2010 International Conference on Image Analysis and Signal Processing(2010 图像分析与信号处理国际会议 IASP 10)

会议地点: 厦门

会议语种:英文

页码: 43-45

在线出版日期: 2010-04-12（万方平台首次上网日期，不代表论文的发表时间）