4results about How to "Improve registration" patented technology

This application discloses a method, circuit, device, electronic device, and storage medium for detecting image corner points, belonging to the field of electronic device technology. The image corner point detection method includes: processing the image to be detected to obtain N feature values ​​corresponding to N first pixels in the image, where N is a positive integer; processing the N feature values ​​to obtain distribution information corresponding to the N feature values; determining a corner point threshold based on the distribution information and the number of targets, where the number of targets is the number of target corner points; and determining the target corner points among the N first pixels based on the corner point threshold.

This disclosure relates to a method and model for determining the homography of multimodal images, belonging to the field of image registration technology. The method involves: embedding an initial noisy image into a diffusion denoising process to generate an initial intermediate image; using a cross-modal reference image as guidance, progressively denoising the initial intermediate image based on the diffusion denoising process to generate intermediate images at multiple intermediate steps; and performing complete denoising on the intermediate image at the current time step to generate a noise-free approximate image at the current time step; predicting the increment matrix at the current time step based on the cross-modal reference image and the noise-free approximate image at the current time step; selecting the increment matrix with the smallest registration error from the increment matrices at multiple time steps as the registration increment matrix, and determining the homography matrix of the time step corresponding to the registration increment matrix as the registration homography matrix. The above method for determining the registration homography of multimodal images is used to determine the registration homography matrix.

This application relates to an image subtraction method, apparatus, and storage medium. The method includes: registering a current frame's overlay image and a previous frame's target mask image to determine the current frame's target mask image; and determining the current frame's subtraction image based on the current frame's target mask image and the current frame's overlay image. Through this application, the current frame utilizes the previous frame's target mask image during the registration process, transferring the registration trend of the previous frame to the current frame. This is equivalent to the current frame undergoing several registrations, thereby reducing the computational load during image registration and improving the registration effect.

The application discloses a kind of based on deformation adaptation multi-modal image registration method, system and computer equipment, comprising: acquisition multiple multi-modal images and carries out gray standardization, constructs diversified registration dataset;Build registration network model including pyramid coding module, deformation self-adapting module, cross-modal interaction module and registration parameter estimation module;Image pair is sequentially input into the above module, respectively extract basic feature mapping, deformation feature mapping and interactive enhanced feature mapping, finally output estimated conversion parameter matrix;Through preset loss function supervision training process, select optimal network parameter, obtain trained registration model;When practical application, the image pair to be registered is input into trained model, obtains conversion parameter matrix and completes image registration.Can effectively improve multi-modal image registration performance, especially in the case of severe geometric distortion and significant modal difference, still have good robustness and adaptability.