摘要
本文提出一种基于改进量子遗传算法的图像增强方法,量子的调整策略主要针对不同染色体通过使用自适应量子旋转门步长实现,同代染色体更新时采用同一旋转角步长完成,不同代染色体则遵循不同的旋转角步长完成进化过程,各量子染色体的进化速度以各量子染色体的汉明距离为依据完成具体调节过程,在此基础上更新量子染色体后,以目标数值范围为依据判定获取较为适合的染色体解并将其作为级别较高的染色体使用,再通过对角线交叉方法的使用完成交叉操作量子过程。为图像增强方法的优化和完善提供参考。
This paper proposes an image enhancement method based on improved quantum genetic algorithm.The quantum adjustment strategy is mainly used to achieve different chromosomes by using adaptive quantum revolving gate step.The same generation of chromosomes is updated with the same rotation angle step,different generations.The chromosomes follow the different rotation angle steps to complete the evolution process.The evolution rate of each quantum chromosome is based on the Hamming distance of each quantum chromosome to complete the specific adjustment process.After updating the quantum chromosome,the target value range is used as the basis to obtain a more suitable chromosomal solution,as a higher-level chromosome,to complete the cross-operation quantum process through the use of the diagonal crossing method.It provides reference for the optimization and improvement of image enhancement methods.
作者
崔尚勇
CUI Shang-yong(Shaanxi Technical College of Finance&Economics School of Management,Xianyang 712000 China)
出处
《自动化技术与应用》
2020年第7期96-100,共5页
Techniques of Automation and Applications
关键词
图像锐化与增强
量子遗传算法
旋转角步长
汉明距离
image sharpening and enhancement
quantum genetic algorithm
rotation angle step
Hamming distance
