基于不完全小波树型结构的图像纹理特征研究  

The Study of Texture Features Extraction Based on Incomplete Tree-structured Wavelet Transform

作　　者：徐孟春[1] 王相海[1,2] 

机构地区：[1]辽宁师范大学计算机与信息技术学院,大连116029 [2]浙江大学CAD&CG国家重点实验室,杭州310027

出　　处：《中国图象图形学报》2009年第7期1341-1346,共6页Journal of Image and Graphics

基　　金：辽宁省自然基金项目(20072156);辽宁省高等学校优秀人才支持计划资助项目(RC-04-11);辽宁省教育厅科学技术研究项目(20060486)

摘　　要：图像纹理特征的研究作为一个热点和难点问题为图像检索、景物识别和目标定位等应用领域提供了一种重要途径。近年来,小波域的图像处理和分析受到关注,但基于小波域图像特征的研究相对滞后。通过分析图像纹理及其空间域特性,同时对图像不完全树型小波结构的分解过程和存在的问题进行讨论,对基于不完全小波树型结构的纹理特征进行研究,给出了小波域描述图像纹理的若干特征,提出了描述图像方向性的两个特征,同时对这些特征在图像检索中的应用过程和应用范围进行了说明。实验结果验证了所提出纹理特征的有效性。The study of texture features extraction as a hot but difficult research topic is an important approach to image retrieval and scenery recognize. In recent years, image processing and analysis based on wavelet territory receives many attentions. But the study of image features based on wavelet territory is relatively slow. In this paper we firstly studied the texture features of image and discussed the process of incomplete tree-structured wavelet transform. Then we studied the texture features extraction based on incomplete tree-structured wavelet transform. Some new types of texture features extraction is proposed in this paper especially. Two methods of direction features extraction has been put forward. We also gave the process and scope of the application. The experiments show the effectiveness of these methods.

关 键 词：不完全小波树型结构 图像纹理特征 方向特征 图像检索 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]