%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