The Research on Continuous Image Registration Filtering Based on Kalman Filter
The scanning pen is a portable tool for capturing text and images,where image stitching technology plays a crucial role.Traditional image registration methods are based on matching image feature points to complete the registration.However,these methods are hindered in scanning pen applications due to the influence of image resolution.This method not only takes a long time but also faces challenges in successful registration due to the lack of sufficient feature points.To address this issue,a phase correlation algorithm is proposed for image registration with the scanning pen.Fur-thermore,Kalman filtering is integrated to perform secondary filtering of the registration results.Ex-perimental results demonstrate that compared to traditional image stitching algorithms,this approach not only ensures the speed of image stitching but also reduces noise in offset measurements through Kalman filtering,thereby improving the quality of image stitching.