The automatic construction of large,hi gh-resolution image mosaics is an active area of research in the fields of imag e processing,computer vision and computer graphics.Due to the traditional edge-based algorithm is sensitive to noise,also because of the infrared image noise inte rference and low signal to noise ratio characteristics,an image mosaic algorithm based on pulse coupled neural network (PCNN) is presented in this paper.First,t he pulse coupled neural network imitation of biological vision is used to extract t he edge information,the Hausdorff distance is applied as the registration similarity measure,and then the optimal reg istration parameters are calculated for image mosaicing,simultaneously using the weighted average method to achieve image mosa icing fusion,which results in an optimal image mosaic and significantly improved quality of the image mosaic.The experimental results show that the algorithm can achieve precise image mosaicing and has better r obustness to noise.