An edge detection algorithm based on JensenTsallis entropy is presented. By analyzing the character of IR image, the algorithm uses local entropy information.The divergence-direction is obtained by sliding a window over an image. The edge pixel is linked from candidate pixels using direction information. Some experimental results have been provided to show the efficiency of the proposed algorithm.