%0 Journal Article %A Razagh Hafezi and Ahmad Keshavarz and Vida Moshfegh %D 2012 %J International Journal of Electrical and Computer Engineering %B World Academy of Science, Engineering and Technology %I Open Science Index 69, 2012 %T A New Algorithm to Stereo Correspondence Using Rank Transform and Morphology Based On Genetic Algorithm %U https://publications.waset.org/pdf/2671 %V 69 %X This paper presents a novel algorithm of stereo correspondence with rank transform. In this algorithm we used the genetic algorithm to achieve the accurate disparity map. Genetic algorithms are efficient search methods based on principles of population genetic, i.e. mating, chromosome crossover, gene mutation, and natural selection. Finally morphology is employed to remove the errors and discontinuities. %P 1168 - 1171