关键词: 颜色特征, 纹理特征, 共生矩阵, 主色, 图像检索

Abstract: This paper studies the color and texture features.In the image color features aspect，it confirms and adds weight to the dominant colors in each sub-block by making use of Human Visual System.So it can obtain the weighted dominant color features.In the texture features aspect，this paper constructs a gray-difference primitive co-occurrence matrix to extract texture features by combining statistical methods with structural ones.On this foundation，the Gaussian model is used to normalize the different sub-characters distance.Then it can gain the last image retrieval features by combining the color features with the texture features，and also gives the image retrieval algorithm by this combined features.The experimental results show that the features of the gray-difference primitive co-occurrence matrix are more delicate than the traditional gray co-occurrence matrix.On this foundation，the image retrieval algorithm using both color and texture features has better retrieval precision.

Key words: color features, texture features, co-occurrence matrix, dominant color, image retrieval