Color and Texture Extraction and Research of Image Retrieval Based on Wavelet Territory
Xianghai Wang · Journal of Chinese Computer Systems · 2009
This paper firstly studies the image color and texture features based on wavelet territory. In the image color features aspect,we introduce a color features' extract method based on HSI low-frequency subband color features after partition. Firstly,according to the image attention from human eyes,we split the image into sub-blocks. Then extract HSI low-frequency subband color features of each sub-block after wavelet transform,and we can obtain the image color features by weighting. In the texture features aspect,we put forward a texture features' extract method based on the gray-difference primitive co-occurrence matrix of high-frequency subband and the orientation features of each subband. The description to the image texture of this method is morn fine because of adding the orientation features. On this foundation,the image retrieval algorithm using both color and texture features improve the image retrieval precision. The experiment result testifies the validity of the proposed algorithm.