结合重要的彩色图像边缘及人眼视觉特性，提出了一种基于彩色边缘直方图的图像检索方法。该方法首先利用Canny检测算子提取出原始图像的彩色边缘信息，然后将彩色图像边缘转换至符合人眼视觉特性的HSV空间并进行量化处理，再将彩色边缘划分成圆环区域和角形区域，并分别计算出圆环区域和角形区域的颜色直方图，最后综合利用上述圆环区域和角形区域的颜色直方图计算图像间内容的相似度，并进行彩色图像检索。仿真实验表明，该方法能够准确和高效地查找出用户所需内容的彩色图像，并且具有较好的查准率和查全率。

In this paper, a content based image retrieval algorithm using color edge histogram in HSV color space is proposed. Firstly, the color edge is extracted by using Canny detection operator. Secondly, the color edge is transformed from RGB space to HSV space and quantized. Thirdly, the color edge is divided into some ring regions and angle regions, and the color histogram of each ring region and angle region are computed as image features. Finally, the similarity between color images is computed by using a combined feature index based on the color histogram of ring region and angle region. Experimental results show that the proposed image retrieval is more accurate and efficient in retrieving the user interested images.