Contourlet-1.3 Texture Retrieval with Energy, Standard Deviation and Kurtosis

Abstract:

Contourlet-1.3 transform has better performance in directional information representation than the original contourlet transform due to less artifacts and local frequency characteristics, and has been studied by us in retrieval systems and has been shown it is superior to contourlet ones at retrieval rate. In order to improve the retrieval rate further, a novel contourlet-1.3 transform based texture image retrieval system was proposed in this paper. In the system, sub-bands energy, standard deviation and kurtosis in contourlet domain were cascaded to form feature vectors, and the similarity measure function was Canberra distance. Experimental results show that this contourlet-1.3 transform based image retrieval system has higher retrieval rates about 7% to that of the contourlet transform with absolute mean sub-bands energy and standard deviations features under same system structure.

• Periodical: Applied Mechanics and Materials (Volumes 446-447)
• Pages: 1347-1352
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.446-447.1347
• Online since: November 2013
• Authors: Zhen Guo, Xin Wu Chen
• Keywords: Content Based Image Retrieval, Contourlet-1.3 Transform, Retrieval Rate, Retrieval System, Texture Image

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