Science and Technology Resources Image Retrieval Technique Based on Nonsubsampled ContourletReportar como inadecuado




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Considering the characteristics of science and technology resources image, a novel image retrieval algorithm based on texture is proposed. The algorithm proposed takes fully the advantage of statistical attribution of image’s Nonsubsampled Contourlet transform NSCT coefficients to form the eigenvector for depicting textural feature and retrieva1. Retrieval tests were carried out for wild plants image database with the algorithm and the results were compared with that by the retrieval algorithm based on Gabor wavelet transform and the contourlet transform. It was found that the precision of retrieval in NSCT domain is higher than that in Gabor wavelet transform and the contourlet transform domain, thus verifying the higher retrieval performance of the algorithm.

KEYWORDS

computer image processing; image retrieval; NSCT; texture feature

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Autor: Xiuming Sun, Peng Geng, Wanhai Yu, Weina Wu

Fuente: http://www.scirp.org/



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