Open Science Research Excellence
@article{(International Science Index):http://waset.org/publications/7741,
  title    = {A Quantum-Inspired Evolutionary Algorithm forMultiobjective Image Segmentation},
  author    = {Hichem Talbi and  Mohamed Batouche and  Amer Draa},
  country   = {},
  institution={},
  abstract  = {In this paper we present a new approach to deal with
image segmentation. The fact that a single segmentation result do not
generally allow a higher level process to take into account all the
elements included in the image has motivated the consideration of
image segmentation as a multiobjective optimization problem. The
proposed algorithm adopts a split/merge strategy that uses the result
of the k-means algorithm as input for a quantum evolutionary
algorithm to establish a set of non-dominated solutions. The
evaluation is made simultaneously according to two distinct features:
intra-region homogeneity and inter-region heterogeneity. The
experimentation of the new approach on natural images has proved
its efficiency and usefulness.},
  {International Journal of Nuclear and Quantum Engineering },  volume    = {1},
  number    = {7},
  year      = {2007},
  pages     = {1962 - 1964},
  ee        = {http://waset.org/publications/7741},
  url       = {http://waset.org/Publications?p=7},
  bibsource = {http://waset.org/Publications},
  issn      = {eISSN:1307-6892},
  publisher = {World Academy of Science, Engineering and Technology},
  index     = {International Science Index 7, 2007},
}