关键词: 纹理分类, 小波分析, LSSVM

Abstract: Texture classification has long been an important research topic in image processing.Nowadays texture classification based on mathematical parameters is very popular，but fails to break through the semantic obstacle between visual features and human understanding of textures.In this paper，a novel approach of texture classification based on conceptual words of Chinese natural language which describe various natural textures has been put forward.Ten texture classes are presented to automatically classify natural texture with wavelet packet and LSSVM，which transform texture visual features to semantic description.Experimental results show that this approach is useful to negotiate the “semantic gaps” between texture concepts and feature parameters on image understanding and image retrieval based on natural language.

Key words: texture classification, wavelet transform, LSSVM