Weighted Fuzzy c-means Clustering Algorithm for Image Segmentation Based on Two-dimensional Histogram
It is a procedure of the label following an unsupervised fuzzy clustering that fuzzy c-means(FCM) algorithm is applied for gray image segmentation, and it suits for the uncertain and ambiguous characters in gray image. However, there is some deficiency in the algorithm,for example, it only uses its gray distribution and no spatial information. It is not ideal to cut apart effect at practical picture containing the noise. So we introduce a new weighed fuzzy c-means clustering method. And we improve the membership function,too. The result shows that this scheme can effectively segment the target from its background.
Sha Xiuyan He You
Department of Electronic Engineering Naval Aeronautical Engineering Institute Yantai, P. R. China, 2 Department of Electronic Engineering Naval Aeronautical Engineering Institute Yantai, P. R. China, 2
国际会议
青岛
英文
2006-07-21（万方平台首次上网日期，不代表论文的发表时间）