Texture Retrieval Based on Tree-Structured Wavelet Transform
基于树状小波分解的纹理图象检索

This paper put forwards a new novel texture image retrieval method by using the advantage feature of tree structured wavelet transform. This 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 proposed method also suggested a modified algorithm, named principal eigenvalues analysis(PEA), which can cut down eigenfeature dimensions to the low space 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 has powerful practical merits for it can improve the retrieval accuracy efficiently and speed up the retrieval processing.