Contourlet-1.3 Texture Retrieval Algorithm by Sub-Bands Energy and Consistency

Abstract:

Contourlet-1.3 transform has fewer artifacts than original contourlet transform proposed by Do in 2002; it can extract image texture information more efficiently and has been studied for image de-noising, enhancement, and retrieval situations. Focus on improving the retrieval rate of contourlet-1.3 transform retrieval system, a new contourlet-1.3 texture retrieval algorithm was proposed in this paper. The feature vector of this system was a combination of sub-band energy and consistency and the similarity measure function used here was Canberra distance. Experimental results on 109 texture images coming from Brodatz album show that using the new features can make a higher retrieval rate than the combination of standard deviation and energy which is most commonly used today under the same retrieval time and system structure.

• Periodical: Applied Mechanics and Materials (Volumes 220-223)
• Pages: 2684-2687
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.220-223.2684
• Online since: November 2012
• Authors: Jing Ge, Xin Wu Chen
• Keywords: Consistency, Content Based Image Retrieval, Contourlet-1.3 Transform, Energy, Texture Image Retrieval

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