In this paper, we investigate the appropriateness of the three well-known color spaces, i.e., RGB, YUV, and HSV, for histogram-based color image retrieval. An image retrieval demo system is built to make it easy to test the retrieval performance. In our demo system, each image is first transformed into the investigated color space. Then, the histogram for each color channel of the image is obtained, which is served as the color feature of the image. We have performed experiments on a database with 1000 images, using the Euclidean distance metric. The results show that the HSV color space outperforms the other two color spaces from the aspect of the histogram-based color image retrieval.