It proposes texture feature fusion-based two-stage clustering segmentation algorithm. First

we choose texture feature

the average of difference and color component as feature vector for segmentation. Then

at the stage of segmentation

aim to the disadvantages of Fuzzy c-means

it computes the clustering center and the number of clustering center based on histogram. Finally

we use feature vector to cluster through Fuzzy c-means. Compared with some well-known methods

the proposed method has a better segmental result.