Abstract: The result of image mosaic suffers from different exposure of the camera,scale change,rotation,ambient noise and light interference.Manual sorting images have problems of high error rate and poor efficiency.In this paper,a new algorithm of multi-images mosaic based on improved phase correlation and feature point registration was proposed.Firstly,the improved phase correlation algorithm based on log polar transformation is used to calculate parameters of scaling,rotation and translation.Sort rules are made according to the peak size of impulse function energy.Then,the Harris corner points are extracted in overlapping positions,the matching point pairs are purified by the improved Ransac algorithm,and the transformation matrix is optimized to complete mosaic .At last,according to the phenomenon of joint,images are processed by NSCT transform algorithm to decompose low frequency and high frequency sub-bands.The new fusion strategy can make the image joint seem smooth and natural.The results of the experiments confirm that the model parameters established by the new algorithm are accurate and efficient,and the mosaic has high robustness to complex environment and chaotic sequence images.

Key words: Image registration,Mosaic,Phase correlation,Harris corner,NSCT transform