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has been cited by the following article:

• TITLE: Shift Invariance Level Comparison of Several Contourlet Transforms and Their Texture Image Retrieval Systems

  AUTHORS: Xinwu Chen, Jingjing Xue, Zhen Liu, Wenjuan Ma

  KEYWORDS: Content Based Texture Image Retrieval, Shift Invariance Level, Contourlet Transform, Contourlet-2.3

  JOURNAL NAME: Journal of Signal and Information Processing, Vol.7 No.1, February 15, 2016

  ABSTRACT: In this paper, we proposed a metric to measure the shift invariance of the three different contourlet transforms. And then, using the same structure texture image retrieval system which use subband coefficients energy, standard deviation and kurtosis features with Canberra distance, we gave a comparison of their texture description abilities. Experimental results show that contourlet-2.3 texture image retrieval system has almost retrieval rates with non-sub sampled contourlet system; the two systems have better retrieval results than the original contourlet retrieval system. On the other hand, for the relatively lower redundancy, we recommend using contourlet- 2.3 as texture description transform.