Regarding laser assistant vision image and infrared thermal image under night vision environment as the research object，an image fusion algorithm based on non-subsampled contourlet transform and image segmented-template is proposed.Pulse coupled neural network is used to segment two input images，and the merits of segmentation are determined based on the between-class variance ratio，and an image segmented-template is selected.In NSCT domain，coefficients of low frequency and high frequency based on image segmented-template are processed respectively，and then coefficients of low frequency and high frequency of fused image are obtained.Finally，the fused image is obtained by performing the inverse NSCT on the fusion coefficients.The experimental results show that the proposed algorithm can best present the detail information of laser assistant vision image and target information of infrared thermal image under night vision environment.