In order to simultaneously deal with both the stochastic nature and the fuzzy nature of images,a multi-resolution(MR) fuzzy clustering algorithm based on Markov random field(MRF) is proposed.The algorithm can combine both the advantages of fuzzy nature of the fuzzy clustering and the spatial description ability of the MRF model.The algorithm obtains the multi-resolution expression by decomposed wavelet.And the MRF of the wavelet coefficients is established,and then the conditional probability matrix in multi-scale MRF is used to replace the membership matrix in the fuzzy C-means clustering algorithm.Three experiments have verified that the proposed algorithm outperforms the classical MRF,multiscale MRF,FCM and kernel FCM based algorithms in terms of both visual quality and quantitative indices.