Open Science Research Excellence
@article{(International Science Index):http://waset.org/publications/10003798,
  title    = { Image Segmentation Using 2-D Histogram in RGB Color Space in Digital Libraries },
  author    = {El Asnaoui Khalid and  Aksasse Brahim and  Ouanan Mohammed },
  country   = {Morocco},
  institution={Moulay Ismail University},
  abstract  = {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.},
  {International Journal of Computer and Information Engineering },  volume    = {10},
  number    = {1},
  year      = {2016},
  pages     = {214 - 217},
  ee        = {http://waset.org/publications/10003798},
  url       = {http://waset.org/Publications?p=109},
  bibsource = {http://waset.org/Publications},
  issn      = {eISSN:1307-6892},
  publisher = {World Academy of Science, Engineering and Technology},
  index     = {International Science Index 109, 2016},
}