Abstract
In order to improve video image registration accuracy during splicing, a video image registration algorithm based on corner point detection and feature point integration is proposed in the article. Firstly, Harris algorithm is adopted to detect image corner points and fetch surf feature points of the image as well as integrate the corner points and feature points and eliminate the repeated points to generate feature vector; secondly, neural network is used to learn the image vector and establish image registration model, and the particle swarm algorithm is used to optimize the parameters of neural network; finally, the specific image is adopted for simulation comparison experiment. The result shows: compared with other image registration algorithms, the algorithm proposed in the article can improve image registration accuracy and efficiency and has relatively strong robustness.
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