中文摘要：

结合基元与颜色特征，提出一种基于基元的彩色图像检索算法，该算法首先将彩色图像从RGB颜色空间转换到HSV空间上，并将图像量化为256种颜色，然后定义五种基元类型对图像进行基元分析得到基元图，利用颜色直方图描述基元图的颜色特征，利用改进的直方图相交算法进行相似度度量。实验结果表明：提出的算法能有效地去除背景颜色对图像目标的检索影响，而且较之用灰度边缘检测的边缘代替彩色图像边缘而进行的检索，能更好地反映彩色图像的纹理和边缘特征，具有较高的查准率和查全率。

英文摘要：

In this paper, a content-based image retrieval algorithm using texton and color is proposed. Firstly, it converts color image from RGB color space to HSV color space and quantizes the color image into 256 colors. Then texton-images can be extracted based on the five texton types which are def＇med for image analysis. Finally, color features of texton-images are represented by color histogram whose similarity can be measured by the improved cross color histogram. Experimental results indicate that： the proposed algorithm can effectively remove the effects of the background color and can make a better description on the color image texture and edge features possessing higher rates of precision and recall compared with the edge detection method.