Infrared image enhancement and the correlative technique based on the parallel genetic algorithm

被引：0
|
作者：
Guo, Run-Qiu [1 ]
Li, Jun-Feng [1 ]
Lin, Xiao-Chun [2 ]
机构：
[1] Sch. of Mechano-Electron. Eng., Xidian Univ., Xi'an 710071, China
[2] Sch. of Technical Phys., Xidian Univ., Xi'an 710071, China
来源：
Xi'an Dianzi Keji Daxue Xuebao/Journal of Xidian University | 2004年 / 31卷 / 01期
关键词：
Computer simulation - Genetic algorithms - Image quality - Infrared imaging - Mathematical models - Parallel algorithms;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
A method for infrared image enhancement using the improved genetic algorithm is proposed. The relation between gray levels for the input and output images is coded, the most effective relation of the effect is researched by using a certain evaluation standard for the image quality. To improve the efficiency of the genetic algorithm, a calculation model based on the multithread like parallel genetic algorithm is designed. The simulation results show that the algorithm has good feasibility and effectiveness.
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页码：6 / 8
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