Commenced in January 2007
Frequency: Monthly
Edition: International
Paper Count: 31584
Image Segmentation Using 2-D Histogram in RGB Color Space in Digital Libraries

Authors: El Asnaoui Khalid, Aksasse Brahim, Ouanan Mohammed


This paper presents an unsupervised color image segmentation method. It is based on a hierarchical analysis of 2-D histogram in RGB color space. This histogram minimizes storage space of images and thus facilitates the operations between them. The improved segmentation approach shows a better identification of objects in a color image and, at the same time, the system is fast.

Keywords: Image segmentation, hierarchical analysis, 2-D histogram, Classification.

Digital Object Identifier (DOI):

Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 1197


[1] Bova, N., Ibanez, O., & Cordon, O, «Image segmentation using extended topological active nets optimized by scatter search», IEEE Comput. Intell. Mag. 8 (1) 16–32. (2013).
[2] McCann, M., Mixon, D., Fickus, M., «Images as occlusions of textures: a framework for segmentation», IEEE Trans. Image Process. 23 (5) 2033– 2045. (2014).
[3] Peng, B., & Li, T, «A probabilistic measure for quantitative evaluation of image segmentation», IEEE Signal Process. Lett. 20 (7) 689–692. (2013).
[4] Clément, A., & Vigouroux B., «Unsupervised segmentation of scenes containing vegetation (Forsythia) and soil by hierarchical analysis of bi-dimensional histograms », Pattern Recognition Letters, n° 24, pp 1951-1957, (2003).
[5] Ouattara, S., Clément, A., Vigouroux, B., & Varela, J. Rojas. «Segmentation d'images couleur par analyse d'histogrammes couleur compacts » 15ème Colloque National de la Recherche en IUT CNRIUT 2009 - Lille - Les 8, 9 et 10 Juin, (2009).
[6] Masmoudi, Lh., Zennouhi, R., & EL Ansari, M. Participation with a chapter « Image Segmentation Based on Two-Dimensional Histogram » in a book « image segmentation » published by InTech, (2011).
[7] Shandilya, S. K. & Singhai, N, «Article: A survey on: Content based image retrieval systems», International Journal of Computer Applications, vol. 4, no. 2, pp. 22–26, published by Foundation of Computer Science. July. (2010).
[8] Lew, M. S., Sebe, N., Djeraba, C., & Jain, R, «Content-based multimedia information retrieval», ACM Transactions on Multimedia Computing, Communications, and Applications, vol. 2, no. 1, pp. 1–19, Feb. (2006).
[9] Datta, R., Joshi, D., Li, J., & Wang, J. Z, «Image retrieval: Ideas, influences, and trends of the new age», ACM Comput. Surv. vol. 40, no. 2, pp. 1–60, May. (2008).
[10] Elasnaoui, K., Aksasse, B., & Ouanan, M «Color Image Retrieval Based on a two-Dimensional Histogram», International Journal of Mathematics and Computation, Vol. 26; Issue Num. 2, pp 10-18. (2015).
[11] Elasnaoui, K., Aksasse, B., & Ouanan, M «Content-based color image retrieval based on the 2-D histogram and statistical moments», Second World Conference on Complex Systems (WCCS), Agadir Morocco, pp 653-656, IEEE Conference Publications. (2014).
[12] Clément, A. «Algorithmes et outils informatiques pour l'analyse d'images couleur. Application à l'étude de coupes histologiques de baies de raisin en microscopie optique». Thèse de doctorat, Université d'Angers, France, (2002).
[13] Zennouhi, R., Masmoudi, LH., & El Ansari, M., «RGB Image Segmentation Using Hierarchical Analysis of 2D-Histograms. Application to Menthe Plant». International Conference: Sciences of Electronic, Technologies of Information and Telecommunications, TUNISI, (2009).
[14] Gillet, A., Macaire, L., Botte-Lecocq, C., & Postaire, J. G., Chapter « Color image segmentation by analysis of 3D histogram with fuzzy morphological filters», pp 154–177, in Fuzzy filters for image processing- Studies in fuzziness and soft computing, Authors of the book: M. Nachtegael, D. Van der Weken, D. Van De Ville and E.E. Kerre. Springer-Verlag Editor, (2002).
[15] Macaire, L., Vandenbroucke, N., & Postaire, J. G., «Color image segmentation by analysis of subset connectedness and color homogeneity properties». Comput. Vision Image Understand. Vol.102, pp 105–116, (2006).
[16] Sural, S., Qian, G., & Pramanik, S. «Segmentation and histogram generation using the HSV color space for image retrieval», Proc. Int. Conf. on Image processing: ICIP’02, Rochester, NY, USA, IEEE, Vol. 2, pp. II589–II592, (2002).
[17] Zhang, H., Fritts, J. E., & Goldman, S. A. «Image segmentation evaluation: A survey of unsupervised methods» Computer Vision and Image Understanding, Vol. 110, 260–280. (2008).
[18] Borsotti, M., Campadelli, P., & Schettini, R. «Quantitative evaluation of color image segmentation results» Patt. Recogn. Lett. Vol.19, 741–747. (1998).