红外系统中自动调焦爬山搜索算法的优化设计  

Optimized Mountain Climb-searching of Auto-focusing in Infrared Imaging System

作　　者：宫光勇[1] 何文忠[1] 高旭辉[1] 

机构地区：[1]华北光电技术研究所,北京100015

出　　处：《激光与红外》2007年第11期1213-1215,共3页Laser & Infrared

摘　　要：图像调焦越准确,高频分量的能量越多,系统的调焦评价函数反映了图像高频分量的能量,自动调焦的过程就是运用爬山搜索算法求取调焦评价函数最大值的过程。普通的爬山搜索算法会受到调焦评价函数局部极值的干扰而不能准确调焦,优化的调焦评价函数能有效地排除这种干扰,使系统可靠地调焦。本文详细介绍了在红外系统中优化的爬山搜索算法的原理和实现方法。The better focused the image is, the more energy of high frequency it contains. The focusing evaluation function of the auto-focusing system is consistent with the energy of high frequency of the image. The procedure of auto-focusing is to getting the maximum of the focusing evaluation function employing the mountain-climb searching algorithm. Ordinary mountain-climb searching algorithrm is apt to disturbed by local extremum,while optimized mountain- climb searching algorithm can get rid of this disturbance effectively. This paper introduces the principle and realization of the optimized mountain-climb searching algorithm.

关 键 词：自动调焦 爬山搜索算法 调焦评价函数 

分 类 号：TN215[电子电信—物理电子学] TP391[自动化与计算机技术—计算机应用技术]