Multi-mode image registration method and system based on deep curve learning, and medium

The invention discloses a multimode image registration method and system based on deep curve learning, and a medium. The method comprises the following steps: inputting a to-be-registered image and a reference image into a trained multimode image registration network; carrying out feature extraction on the stacked to-be-registered image and reference image by using a feature extraction unit to obtain a feature F; carrying out regression based on the feature F by utilizing the global constraint sub-network to obtain a global affine transformation parameter A, and mapping the initial coordinate of the image to be registered into a global constraint grid coordinate G0; acquiring an accurate image pixel coordinate G1 by using an image coordinate estimation sub-network of forward depth curve learning and combining the G0; and resampling the to-be-registered image based on the image pixel coordinate G1 to obtain a registered image. According to the method, images with radiation and geometric distortion and multiple