The purpose of our visual information retrieval tool is to extract from a database images that are similar to an image query. Color features are generally used to define a measure of similarity between images, as they are usually very robust to noise, image degradation, changes in size, resolution or orientation. Nevertheless, the most often features suffer objectively from the lack of color spatial knowledge. Then, our purpose is to merge two classical methods : the color pyramid and the interest points detection, well-known for grey level image analysis. The pertinence of this new method is demonstrated by an evaluation and a comparison with others keypoints detectors. We show the interest for image indexation with concrete tests on our large images database, using the icobra system.