In this paper,a wavelet transform based fuzzy region competition image segmentation algorithm is proposed.Utilizing the superiority of texture classification based on wavelet transform,this algorithm processes t he image with undecimated wavelet transform under the fuzzy region competition algorithm,and then sets up the statistical characteristics of parameters in the wavelet domain first.Based on the parameters described above,the energy function is constructed accordingly.In the stage of s olving the equation,a fas t iterative algorithm is adopted to accelerate the procedure.The image segmentation algorithm proposed here can de cr ease the sensitivity of the signal-to-noise ratio,which often occurrs in traditional segmentation methods. Corresponding experiments are carried out.In these experiments,active contours w ithout edges and the fuzzy region competition image segmentation algorithm are adopted as the references to evaluate our algor ithm.Experimental results show that our proposed algorithm has promising performance on the segmentation qualities a nd the segmentation rate than the active contours without edges and the fuzzy region competition image segmentation algor ithm.