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Infrared and visible light matching tracking has wide application in military, remote sensing and other fields. There is a relatively large difference for grayscale image features infrared and visible light images, this article uses the maximum mutual information algorithm, combined with morphological gradient and wavelet decomposition. Mutual information algorithm the advantage not need to make any assumptions about the relationship between the multi-mode image gray inadequacies that its image spatial information is ignored and the computation time is longer. This paper mutual information combined with the multi-structural element morphological gradient image edge detection, can make the image matching accuracy is improved, but also to improve the problem of local minima, and then take advantage of the wavelet decomposition to reduce the resolution of the image is compressed, can reduce the amount of mutual information calculated . Finally, the experimental data show that the mutual