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《Journal of South-Central University for Nationalities(Natural Science Edition)》 2010-01
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Image Matching Algorithm Based on Contourlet Transform

Wang Wentao,Mei Junhua,Yan Xiumei(College of Computer Science,South-Central University for Nationalities,Wuhan 430074,China)  
Combining with the multi-scale and multi-directional characteristics of non-separable and directional filter banks,Contourlet transform can effectively capture the contours of an image.The algorithm proposed in this paper takes fully the advantage of image′s Contourlet transform coefficients to form the eigenvector for depicting textural feature,and the results are compared with those of the algorithm based on wavelet transform.It is found that the rate of matching in Contourlet transform domain is higher than that in wavelet transform domain,therefore this method is feasible.
【CateGory Index】: TP391.41
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