Contourlet-S and Generalized Gaussian Model Texture Image Retrieval System
作者： Jian-Zhong Ma , Xin-Wu Chen
DOI: 10.1109/IPTC.2010.98
关键词:
摘要: To improve the retrieval rate of contourlet transform texture image system, a new system was proposed. In contourlet-S, which combination non-subsampled Laplacian Pyramid and critical subsampled directional filter banks, used to extract information different scales. Generalized Gaussian Density (GGD) model parameters were cascaded form feature vectors Kullback-Leibler distance (KLD) function for similarity measure. Experimental results on 640 images from Vistex database indicate that contourlet-S based is superior original under same structure with almost length vectors, time memory needed. Furthermore, decomposition including number scale subband each selected in every can make effects rates.
sci-hub.se 参考文章(9)
K. Sharifi, A. Leon-Garcia, Estimation of shape parameter for generalized Gaussian distributions in subband decompositions of video IEEE Transactions on Circuits and Systems for Video Technology. ,vol. 5, pp. 52- 56 ,(1995) , 10.1109/76.350779
M.N. Do, M. Vetterli, Contourlets: a directional multiresolution image representation international conference on image processing. ,vol. 1, pp. 357- 360 ,(2002) , 10.1109/ICIP.2002.1038034
M. Unser, Texture classification and segmentation using wavelet frames IEEE Transactions on Image Processing. ,vol. 4, pp. 1549- 1560 ,(1995) , 10.1109/83.469936
A.L. Da Cunha, J. Zhou, M.N. Do, The Nonsubsampled Contourlet Transform: Theory, Design, and Applications IEEE Transactions on Image Processing. ,vol. 15, pp. 3089- 3101 ,(2006) , 10.1109/TIP.2006.877507
A.W.M. Smeulders, M. Worring, S. Santini, A. Gupta, R. Jain, Content-based image retrieval at the end of the early years IEEE Transactions on Pattern Analysis and Machine Intelligence. ,vol. 22, pp. 1349- 1380 ,(2000) , 10.1109/34.895972
S.G. Mallat, A theory for multiresolution signal decomposition: the wavelet representation IEEE Transactions on Pattern Analysis and Machine Intelligence. ,vol. 11, pp. 674- 693 ,(1989) , 10.1109/34.192463
G. Van de Wouwer, P. Scheunders, D. Van Dyck, Statistical texture characterization from discrete wavelet representations IEEE Transactions on Image Processing. ,vol. 8, pp. 592- 598 ,(1999) , 10.1109/83.753747
M.N. Do, M. Vetterli, Wavelet-based texture retrieval using generalized Gaussian density and Kullback-Leibler distance IEEE Transactions on Image Processing. ,vol. 11, pp. 146- 158 ,(2002) , 10.1109/83.982822
Yang Jia-hong, Texture Image Retrieval Based on Contourlet Transform Using Generalized Gaussian Model Journal of Image and Graphics. ,(2007)