The hierarchical image matching algorithm based on edge features for multi-source images
Gang Yang · Journal of Shaanxi University of Science & Technology · 2012
Aiming at the problem that the gray-level correlation matching algorithm can not be applied to the image matching of multi-source images,a hierarchical image matching algorithm based on edge features is proposed.At first,in this algorithm,the edge images of the different source images are extracted to be as the feature space of the image matching,and moreover,in order to raise the speed of the matching algorithm,several measures are adopted: firstly,the hierarchical sequence similarity detection algorithm(SSDA) combining of the rough matching and the accurate matching is used as the search strategy;secondly,in the rough matching stage,the pixel-jump searching strategy and the sub-sample template are adopted.Then,in the accurate matching stage,in order to take into account the accuracy of the matching algorithm,the pixel-by-pixel scanning searching algorithm is brought into use.At last,this matching algorithm is tested on the real synthetic aperture radar(SAR) image and the optical image through the simulation experiments.The results show that this matching algorithm is suitable for the multi-source images matching,and also highly raise the matching speed faster.