Using wavelet fusion and C-means clustering of false color fusion image, a color night-vision method for color transfer algorithm of image is presented. Firstly, before transferring color to the night vision image, the fusion of visible image and infrared image based on wavelet transformation leads to the gray fused image as target image, which keeps texture information and target information well. Secondly, the source color image using color threshold segmentation based on joint relative entropy is segmented. Finally, a C-means clustering algorithm based on the false color fused image is proposed , according to the characteristics of the gray fused image. In this algorithm, the color information of the false color fused image is used for the night vision image clustering as feature data vectors, and the segmentation result is good. Then, transferring color to the night vision image based on the clustering results is carried out and natural colour night vision image is obtained. The automatic color transfer of the night vision images is realized. The color appearance of the obtained image is natural and its texture is also clear. These results indicate that the proposed method will benefit the target identification for human eyes.