摘要

Due to the scale as well as the resolution between infrared and visible images are quite different, the number of images feature points is insufficient and their distribution is nonuniform, which makes the existing algorithm usually fail to register the two heterotopic images, thus an improved registration algorithm is proposed by using rolling guided filter and phase information. Firstly, the rolling guidance filter is used to construct the scale space, so as to keep the image edge information as much as possible without increasing the time consumption. Then an improved Shitomasi algorithm was proposed, which extracts strong corner points with scale invariance and uniform distribution. In the stage of feature description, a new weighted function was given to spread the frequency to obtain more significant phase congruency and it's more accurate for the feature description of blurred images. The experimental results show that the registration method can still achieve accurate registration for infrared and visible images with 9-fold scale difference, and the RMSE of the multiple image pairs remains within 2-pixel error.

全文