TY - JFULL AU - Khalid Elasnaoui and Brahim Aksasse and Mohammed Ouanan PY - 2015/3/ TI - Content-Based Color Image Retrieval Based On 2-D Histogram and Statistical Moments T2 - International Journal of Computer and Information Engineering SP - 602 EP - 607 VL - 9 SN - 1307-6892 UR - https://publications.waset.org/pdf/10001716 PU - World Academy of Science, Engineering and Technology NX - Open Science Index 98, 2015 N2 - In this paper, we are interested in the problem of finding similar images in a large database. For this purpose we propose a new algorithm based on a combination of the 2-D histogram intersection in the HSV space and statistical moments. The proposed histogram is based on a 3x3 window and not only on the intensity of the pixel. This approach overcome the drawback of the conventional 1-D histogram which is ignoring the spatial distribution of pixels in the image, while the statistical moments are used to escape the effects of the discretisation of the color space which is intrinsic to the use of histograms. We compare the performance of our new algorithm to various methods of the state of the art and we show that it has several advantages. It is fast, consumes little memory and requires no learning. To validate our results, we apply this algorithm to search for similar images in different image databases. ER -