Coarse-to-fine texture images retrieval method
Zuyuan Wang, Xuan Li, Bin Li, Zhenquan Zhuang · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2001
By introducing the feature of tree-structured wavelet transform, a novel texture image retrieval method is proposed in this paper. The method can produce eigenfeature at different scales precisely by decomposing the texture at multi-scales and multi-directions adaptively under the energy rule. In terms of these image eigenvalues, the method also suggested a modified algorithm, named Principal Eigenvalues Analysis (PEA), which can cut down eigenfeature dimensions effectively. It was confirmed that on the capability of the hierarchical way provided by this method the use-oriented application processing can allow users to carry out different retrieval on accord to users' requirements, which is called a coarse to fine retrieval. It was indicated by experimental results that the modified texture retrieval way have powerful practical merits for it can improve the retrieval accuracy efficiently and speed up the retrieval processing.