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