%0 Journal Article
	%A Hichem Talbi and  Mohamed Batouche and  Amer Draa
	%D 2007
	%J International Journal of Nuclear and Quantum Engineering
	%B World Academy of Science, Engineering and Technology
	%I Open Science Index 7, 2007
	%T A Quantum-Inspired Evolutionary Algorithm forMultiobjective Image Segmentation
	%U https://publications.waset.org/pdf/7741
	%V 7
	%X 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.
	%P 1962 - 1964