摘要
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子带分解 ,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 。
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.
出处
《中国图象图形学报（A辑）》
CSCD
北大核心
2001年第11期1065-1069,共5页
Journal of Image and Graphics
基金
"973"国家重点基础研究发展规划资助项目 (G19980 3 0 413 )
关键词
纹理图象
图象检索
树状小波分解
特征值
图象处理
Texture image, Image retrieval, Tree structured wavelet transform, Eigenvalue
