Application of Improved Genetic Algorithms in Real-Time Differential Image Motion Picture Processing
DU Zhuo-Ming1, GENG Guo-Hua1 , XU Peng2, WANG Jian-Ye2
1.Institute of Visualization Technology,School of Information Science and Technology,Northwest University,Xi’an 710127 2.Key Laboratory of Atmospheric Composition and Optical Radiation,Anhui Institute of Optics and Fine Mechanics,Chinese Academy of Sciences,Hefei 230031
Abstract：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 the feasibility of the improved algorithm. The new instrument of measuring the atmospheric coherence length achieves the target of the real-time measurement.
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2012, Vol. 25 
