关键词: 图像配准, Gabor滤波器, 尺度空间, Harris角点, AP聚类

Abstract: A novel registration algorithm is proposed based on Gabor filter of multi-scale and multiple direction and AP clustering. The objective image is decomposed into a sum of layers by Gabor kernel, and Harris corners are extracted in different directions on each layer. The local optimum of scale-space is searched within a window centering around Harris corners. The key points are described in terms of gradient in the characteristic region. The sets of feature point received from the two objective images are analyzed and the [m∶n] coarse matching is realized. The corresponding points are matched in terms of Euclidean distance in each class. AP clustering can effectively eliminate many false matching between images with similar contents. Experimental results show that the proposed method accurately extract the steady feature points, and successfully remove mismatching between images with multiple similar contents.

Key words: image registration, Gabor filter, scale space, Harris corner, AP clustering