Introduction - If you have any usage issues, please Google them yourself
Wavelet multiresolution matching algorithms: a wavelet multi-resolution feature will match the image and the template image is decomposed to the B layer, and retain only low-frequency part of the LL, and then use normalized correlation as a similarity measure, carried out by the rough to the relevant matching process, each time using the matching results of the next layer in the upper small scale search. This greatly reduces the search space, but also reduced the calculation of similarity for each match the amount of data.