@article{(Open Science Index):https://publications.waset.org/pdf/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.},
	    journal   = {International Journal of Nuclear and Quantum Engineering},
	  volume    = {1},
	  number    = {7},
	  year      = {2007},
	  pages     = {1962 - 1964},
	  ee        = {https://publications.waset.org/pdf/7741},
	  url   	= {https://publications.waset.org/vol/7},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 7, 2007},