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A new spectral matching algorithm is proposed by using nonsubsampled contourlet transform and scale-invariant feature transform.The nonsubsampled contourlet transform is used to decompose an image into a low frequency image and several high frequency images,and the scale-invariant feature transform is employed to extract feature points from the low frequency image.A proximity matrix is constructed for the feature points of two related images.By singular value decomposition of the proximity matrix,a matching matrix (or matching result) reflecting the matching degree among feature points is obtained.Experimental results indicate that the proposed algorithm can reduce time complexity and possess a higher accuracy.