改进遗传算法在差分像运动图像实时处理中的应用

Application of Improved Genetic Algorithms in Real-Time Differential Image Motion Picture Processing

差分像运动图像的处理是大气相干长度测量的关键环节,而大气相干长度测量通常需要实时获取数据.因此,差分像运动图像的处理速度与测量仪器的性能有直接的联系.为提高大气相干长度仪的实时测量能力,根据差分像运动图像的特点设计一种改进的遗传算法,对目标光斑进行快速识别.改进的遗传算法为提高收敛速度,取消交叉算子,同时为避免早熟收敛,改进染色体结构,使其在仅使用变异算子的情况下仍具有全局探索能力.Schaf-fer函数模拟寻优实验验证该方法的可行性.使用改进遗传算法的大气相干长度仪实现实时快速测量.

Differential image motion picture processing is an important part of measurement of atmospheric coherence length, and the above measurement needs real-time data. Therefore, the measurement capabilities of the instrument correlate with the processing speed of the differential image motion picture. To improve the real-time measurement capabilities of the instrument of measuring the atmospheric coherence length, an improved genetic algorithm is devised based on the characteristics of the differential image motion picture to identify the target quickly. In order to speed up the rate of convergence, the crossover operator is canceled. Meanwhile, to avoid the premature convergence, the structure of the chromosome is improved to assure the global search capability of the improved algorithm when the mutation operator is used only. The results of simulation experiment on Schaffer function illustrate thefeasibility of the improved algorithm. The new instrument of measuring the atmospheric coherence length achieves the target of the real-time measurement.