基于树状小波分解的纹理图象检索

针对图象检索应具有简单、快速、有效等要求,提出了一种采用树状小波分解特征的纹理图象检索方法,该方法可以在相应的能量准则下,自适应地对图象进行了带分解,同时可利用小波函数分解的多分辨率与多方向特性,来形成能够在一定程度上对图象进行精确描述的特征矢量;在此基础上,又采用基于图象特征值的主分量分析方法,有效降低了特征矢量的维数;另外,基于用户需求的分层检索,还满足了用户不同层次的需求。实验结果表明,该算法快速,有效,具有较强的应用价值。

Texture Retrieval Based on Tree-Structured Wavelet Transform

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.