Texture image retrieval based on DT-CWT and generalized gaussian density
Tongfeng Zhang · Journal of Jilin University · 2013
A new texture image retrieval method based on dual tree complex wavelet transform(DT-CWT) and Generalized Gaussian Density was proposed.By using the DT-CWT the query images and target images are decomposed to six directional sub-bands at each level.Modeling the marginal distribution of dual tree complex wavelet coefficients using Generalized Gaussian Density(GGD) to generate texture feature vectors.Kullback-Leibler distance(KLD) function was used as similarity measurement.The experimental results show that this method has higher accuracy than the methods based on energy feature and Euclidean distance as well as methods based on wavelet transform,contourlet transform and others using generalized Gaussian model in the same scale.