【摘要】 针对红外与可见光图像特征融合提出一种改进免疫遗传算法的融合方法。针对传统免疫遗传算法的不足,存在的早熟收敛,搜索过程缓慢,以至于种群进化停滞不前等缺点,将自适应和"淘汰保留"方法应用到免疫遗传算法中。通过特征编码,种群初始化,应用改进的免疫遗传算法进行特征融合。通过实验仿真结果证明改进的免疫遗传算法有较快的收敛速度和较好的搜索能力,使用基于改进的免疫遗传算法的图像融合特征具有较好的识别率。更多还原

【Abstract】 This paper proposes an improved immune genetic algorithm fusion method of infrared and visible light image characteristics. Because of the defects in the traditional immune genetic algorithm, the existence of the premature convergence, the search process is slow, so that the disadvantage of population evolution remain stagnant, adaptive and "out of retained" is applied to the immune genetic algorithm. Through the feature encoding, population initialization, the improved immune genetic algorithm is used for feature fusion. Through the experimental simulation results show that the immune genetic algorithm improved the convergence rate is faster and better search ability, the use of the improved immune genetic algorithm of image fusion based on feature has good recognition rate.更多还原