自適應(yīng)遺傳算法在多模圖像配準(zhǔn)中的應(yīng)用

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摘要：本文提出了一種改進(jìn)的自適應(yīng)遺傳算法并應(yīng)用到多模圖像配準(zhǔn)的優(yōu)化過程中，該方法采用進(jìn)化前后期分別調(diào)整交叉概率和變異概率、二次交叉以及移民策略等來克服傳統(tǒng)遺傳算法容易陷入局部最優(yōu)的缺點(diǎn)。實(shí)驗(yàn)結(jié)果表明了該算法的可行性和有效性。

關(guān)鍵字：遺傳算法；圖像配準(zhǔn)；交叉；變異

Application of Adaptive Genetic Algorithm in Multimodality Image Registration

Abstract: An improved adaptive genetic algorithm is proposed, and the method is applied to the optimization process of multimodality image registration. This method includes adjusting the probability of crossover and mutation in the evolutionary process, second crossover and emigration strategies. The method can overcome the disadvantage of traditional genetic algorithm that is easy to get into a local optimum answer. The experiment indicates the validity and feasibility of this algorithm.
Key words: Genetic algorithm; Image registration, Crossover, Mutation.

部分參考文獻(xiàn)

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