Fuzzy image registration algorithms of sub-pixel level
亚像素级模糊图像配准算法

On account of the fact that today's point feature registration algorithms can't match edge fuzzy images effectively, this paper proposed the extreme gray offset feature. Firstly, defined the feature point as the pixel with the most dramatic offset from the local mean value. And then, located the extreme offset feature in sub-pixel level by derived function, while fitted the function curve by the least square. Finally, realized the registration by comparing the distance among those 32D feature vectors built by NMI. This feature was easy to extract and calculate, the results of experiment show that the algorithm has high matching accuracy applied in the fuzzy image registration.