关键词: 轮廓波变换，非下采样轮廓波变换，小波变换，图像检索

Abstract: We proposed the double density contourlet transform(DDCT) and studied its applications. The DDCT is a frame operator for L2(Z2)and has the advantages of near shift invariant, multi-scale and multi-direction. The DDCT sulrbands of the texture images have the property of non-Gaussian. The generalized Gaussian density(GGD) can denote the whole statistical feature of image to some extent At the same time, the local binary pattern is used to describe the local texturcspatial feature for the low frequency sulrband of multiwavelets. I}hus the GGD and local binary pattern features can be computed as the feature texture. Experiments indicate that the retrieval efficiency of this algorithm is raised by 5. 3% than the Contourlet algorithm.

Key words: Contourlet transform, NSCT, Wavelet transform, Image retrieval