基于小波分解的纹理图像检索

纹理相似性研究是基于内容检索研究中的一个重要组成部分。采用树状小波分解的方法在相应的能量准则下对图像进行分解，并使用了主成分分析算法来压缩特征向量的维数，而且结合Tamura等人提出的、与人类视觉感知相对应的3个重要纹理特征来形成对图像进行精确描述的特征矢量。实验结果表明，该算法具有较强的应用价值。

Texture Retrieval Based on Wavelet Transform

The evaluation of texture similarity is very important in content-based image retrieval systems.This paper uses a novel texture image retrieval method by using the advantage feature of wavelet transform which can produce eigenvalue under the energy rule.Principle component analysis PCA is used to reduce the number of features.This eigenvalue and three important texture features corresponding to human perceptions scale precisely a texture image.It is indicated by experimental results that the method has powerful practical merits.