一种基于新型遗传算法的图像自适应增强算法的研究.pdfVIP

第 卷 第 期 计 算 机 学 报 24 9 Vol. 24 No. 9 年 月 2001 9 C INESE J.C0MPUTERS Sept. 2001 一种基于新型遗传算法的图像自适应 增强算法的研究 周激流 吕 航 (四川大学电子信息学院 成都 610064D 摘 要 该文提出了一种新的遗传算法 该方法不仅能加快普通遗传算法的收敛速度 而且能有效地保证种群的 多样性 然后 该文将这种新算法应用于灰度图像的自适应增强 实例计算表明了该算法的有效性和可行性. . 关键词 遗传算法 图像增强 变异算子 中图法分类号: TP391 Image Enhancement Based on A New Genetic Algorithm Z 0U Ji Liu LV ang- (Coll6g6of el6 7o7 S C7C l7fo7?C o7 C7 7 67S C 67gC 610064D Abstract The nonlinear transform of gray leVel is an efficient method in the field of image enhancement But in the preVious methods the high computational compleXity and the poor. . robustness are the common disadVantages Thus it is Very significant to find intelligent . algorithms on adaptiVe enhancement of image Firstly this paper proposes a noVel genetic algorithm (GA D Which can not only keep the population diVersity but also has guicker conVergence speed. 0ur idea is that since the search ability of crossoVer in binary coding is better than that of decimal coding it isreasonablethat GA employsbinary coding With seVeral mutation .