Abstract: Aiming at the problem of pattern auto-recognition of jacquard fur sample scanning image,an improved fuzzy C-means clustering image segmentation algorithm based on spatial information is proposed.The distance between the pixel and the clustering center is modified by using the coarseness degree of the neighbor field and the value of the pixel,and the fuzzy membership function of the pixel is modified.The reasonable clustering center is gained by iterative calculation using modified fuzzy membership function.After several experiments of jacquard fur sample scanning image segmentation,it is indicated that the algorithm has the advantage of less sensitive to noise and it can get preferable recognition results when recognizing the pattern of jacquard fur sample scanning image.