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The quantum genetic algorithm is a fast algorithm for searching global optimal solution of a function, being proposed in recent years. The algorithm introduces the method of quantum, which makes the algorithm has high parallelism in solving problems. So the algorithm can be used to the quick searching. In this paper, the algorithm is introduced to target seeking of the ladar imagery. Through theoretical...
In this paper, the initial population is generated by orthogonal design method which can generate a uniformly distributed initial population in the search space, and a new crossover operator based on Latin square design and an approximate method of principle component analysis is presented. The approximate method first determine the sensitive components and then the crossover operator is mainly used...
Visual attention plays a vital role for humans to understand a scene by intuitively emphasizing some focused objects, and recent work in the computational model of visual attention has demonstrated that a purely bottom-up approach to identify salient regions within an image can be successfully applied to diverse and practical problems. Being aware of this, we propose a new approach of extracting objects...
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