Open Access Open Access  Restricted Access Subscription or Fee Access

Color Image Retrieval Based on a two-Dimensional Histogram

EL ASNAOUI Khalid, Brahim AKSASSE, Mohammed OUANAN


The problem we consider that is about finding similar images in a large database. The most efficient algorithms use local image descriptors. In this paper, we propose a new algorithm based on the intersection of 2-D histograms in HSV space. The proposed histogram is based not only on the intensity of pixels but also on a 3x3 window. This approach overcomes the drawback of the classical histogram which ignores the spatial distribution of pixels in the image. By comparing its performances to several methods of the state of the art, we will show that the developed method presents several advantages. The proposed histogram is faster, reduce memory consuming and it doesn’t require learning. For validation of our results, this algorithm will be applied to search similar images in a database of over than 1000 images. Finally, we show that the proposed algorithm is efficient than the method of searching by the intersection of classical histograms in HSV and RGB spaces.


Duplicate images retrieval, Local descriptors, Indexing, Similarity distance, Histograms intersection.

Full Text:


Disclaimer/Regarding indexing issue:

We have provided the online access of all issues and papers to the indexing agencies (as given on journal web site). It’s depend on indexing agencies when, how and what manner they can index or not. Hence, we like to inform that on the basis of earlier indexing, we can’t predict the today or future indexing policy of third party (i.e. indexing agencies) as they have right to discontinue any journal at any time without prior information to the journal. So, please neither sends any question nor expects any answer from us on the behalf of third party i.e. indexing agencies.Hence, we will not issue any certificate or letter for indexing issue. Our role is just to provide the online access to them. So we do properly this and one can visit indexing agencies website to get the authentic information. Also: DOI is paid service which provided by a third party. We never mentioned that we go for this for our any journal. However, journal have no objection if author go directly for this paid DOI service.