Image thresholding has played an important role in image segmentation. In this paper, we present a novel spatially weighted fuzzy c-means (SWFCM) clustering algorithm for image thresholding. The algorithm is formulated by incorporating the spatial ne

基于FCM的改进加入空间信息用于图像分割，可以正确的估计邻域信息的关系-Based on the FCM improvements by adding spatial information for image segmentation, the correct estimate of the relationship between neighborhood information

Fuzzy c-means (FCM) clustering has been widely used in image segmentation. However, in spite of its computational efficiency and wide-spread prevalence, the FCM algorithm does not take the spatial information of pixels into consideration, and hence m