Aiming at the accuracy and speed of image change detection, an improved registration algorithm combiningwavelet transform and SURF algorithm is proposed, and image change detection is completed by an image adaptiveconstraint threshold method. Firstly, the image is decomposed based on wavelet transform and the low-dimensionalcomponents are coarsely registered by SURF. Then the image is dimension reduced by PCA, and the obtained featurepoints are coarsely registered according to the bidirectional registration criterion. Then the RANSAC algorithm is used toselect the exact one. The registration point is the least-squares fitting registration of the image. Finally, the image isdetected by the adaptive constraint threshold method based on the mean ratio difference map based on the preciseregistration. The experimental results show that the accuracy and speed of the registration algorithm are better than thoseof SIFT and SURF. The detection method is better and the detection accuracy is improved.
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