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.