An improved image segmentation method based on maximum fuzzy entropy is proposed in this paper, and the proposed method defines a new fuzzy membership function. This function contains only one parameter, i. e. the threshold to be found. The simp le exhaust searchingmethod is used to obtain the optimal threshold. Experimental results show that the segmentation results are as good as conventional fuzzy entropy method, but computation time decreases remarkably, and segmentation is very fast.