基于Contourlet变换的纹理图像检索

提出了一种基于Contourlet变换的纹理图像检索算法。首先对纹理图像进行Contourlet变换,通过调整子带能量参数的次序,改进其旋转不变性,再提取不同尺度、不同方向上变换系数矩阵的均值和标准方差作为特征向量,最后采用Canberra距离进行相似性度量。实验结果表明,此算法在对纹理图像检索时具有良好的检索性能,并具有旋转不变性。

Texture image retrieval based on Contourlet transform

A texture image retrieval algorithm based on Contourlet transform was proposed. Firstly, texture images were transformed based on Contourlet domain, then the rotation invariance was improved by adjusting sequence of sub-band energy parameters. Then means and standard deviation of coefficients matrix in different scale and various directions were extracted to form feature vectors. Finally, similarity measurement was implemented by using Canberra distance. Experimental results show that the new method has better retrieval performance and the properties of rotation invariance.