Traditional clustering-based image segmentation methods often have some disadvantages, such as difficult to determine the number of clusters, image over-segmentation etc. To resolve these problems, a new region-based color image segmentation algorithm is introduced in this paper, which divides an image to 3 x 3 sub-blocks firstly. Then, the color and position features of every sub-block are extracted to form feature vectors. Finally, an adaptive FCM （Fuzzy c-means Clustering Method） algorithm is used to cluster, thus the image is divided into...
