A Retrieval Strategy for Texture Image

Abstract:

Texture Information is widely used as one of the main low-layer features in the content-based image retrieval. In general, when the retrieval is carried out in texture image space, the same description method is adopted to regular and irregular texture images. As a large amount of regular and irregular texture images existed in the image database, it is very difficult to describe every texture with the same description method. In this paper, a retrieval strategy for texture image is proposed. The proposed strategy is divided into steps: First, classify texture images by Wold decomposition into regular and irregular texture images, then describe and retrieve them by regular and irregular texture description separately. Experimental results have showed that proposed strategy can improve classification and retrieval precision.

• Periodical: Applied Mechanics and Materials (Volumes 635-637)
• Pages: 1018-1025
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.635-637.1018
• Online since: September 2014
• Authors: Chun Hua Qian, He Qun Qiang*, Sheng Rong Gong
• Keywords: Content-Based, Gabor Wavlet, Texture Image, Wold Composition

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