中文摘要：

提出了一种新的基于中文自然语言纹理描述词的纹理分类方法，建立了自然纹理分类体系，并用最小二乘支持向量机对纹理进行分类，实现了纹理的视觉特征到语义描述的转换。实验结果证明，该方法在图像理解和基于内容的图像检索中有助于缩小纹理特征的数学描述和人类理解之间的“语义鸿沟”。

英文摘要：

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. Then we make use of LSSVM classifier to classify natural textures, which transform texture visual features to semantic description. Experimental results show that this approach is useful to negotiating the “semantic gaps” between texture concepts and feature parameters on image understanding and image retrieval based on natural language.