Fast Image Matching Algorithm Based on Pixel Gray Value

Image matching technology is based on the template image in the search for the corresponding or similar target process in other images,which is a very important technology in the field of image information processing.In this paper, we use the matching algorithm based on pixel gray value, where the template matching method adopts normalized cross correlation(NCC) matching method, and adopt image pyramid hierarchical search strategy to improve the speed of image matching to achieve fast image matching.The algorithm is implemented by MATLAB software,and the results show that the method is feasible.