@article{(Open Science Index):https://publications.waset.org/pdf/10001716,
	  title     = {Content-Based Color Image Retrieval Based On 2-D Histogram and Statistical Moments},
	  author    = {Khalid Elasnaoui and  Brahim Aksasse and  Mohammed Ouanan},
	  country	= {},
	  institution	= {},
	  abstract     = {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.},
	    journal   = {International Journal of Computer and Information Engineering},
	  volume    = {9},
	  number    = {2},
	  year      = {2015},
	  pages     = {603 - 607},
	  ee        = {https://publications.waset.org/pdf/10001716},
	  url   	= {https://publications.waset.org/vol/98},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 98, 2015},
	}