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Spectral matching algorithm based on nonsubsampled contourlet transform and scale-invariant feature transform |
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| Authors: | Dong Liang Pu Yan Ming Zhu Yizheng Fan Kui Wang |
| Affiliation: | 1. Key Lab of Intelligent Computing & Signal Processing, Ministry of Education, Anhui University, Hefei 230039, P. R. China;School of Electronics and Information Engineenng, Anhui University, Hefei 230039, P. R. China 2. Key Lab of Intelligent Computing & Signal Processing, Ministry of Education, Anhui University, Hefei 230039, P. R. China;School of Mathematics and Computation Sciences, Anhui University, Hefei 230039, P. R. China |
| Abstract: | 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. |
| Keywords: | point pattern matching nonsubsampled contourlet transform scale-invariant feature transform spectral algorithm |
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