A single image cannot fully describe the information of the target and has low practical application val- ue. In view of some shortcomings of the current infrared and visible image fusion methods ,such as poor fusion quality ,in order to obtain a more ideal infrared and visible image fusion effect ,an infrared and visible image fusion method based on feature similarity is proposed. First of all ,the research progress of infrared and visible image fusion is ana- lyzed ,and the limitations of various methods are pointed out. Then ,infrared and visible images are used ,and image denoising and enhancement processing are carried out. The features of infrared and visible images are extracted by con- volution neural network. Finally ,infrared and visible image fusion is carried out according to the feature similarity ,and the fusion effect of infrared and visible images is tested. The results show that ,this method improves the quality of infrared and visible image fusion ,and the fusion effect is significantly better than other infrared and visible image fu- sion methods.