摘要
图像对焦越准确,高频分量的能量越多,系统的对焦评价函数反映了图像高频分量的能量。自动对焦的过程就是运用爬山搜索算法求取对焦评价函数最大值的过程。普通的爬山搜索算法会受到对焦评价函数局部极值的干扰而不能准确对焦,优化的对焦评价函数能有效地排除这种干扰,使系统可靠地对焦。本文详细介绍了优化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.
出处
《浙江科技学院学报》
CAS
2005年第3期171-174,共4页
Journal of Zhejiang University of Science and Technology
关键词
自动对焦
爬山搜索算法
对焦评价函数
auto-focusing
mountain-climb searching algorithm
focusing evaluation function
作者简介
郑玉珍（1970-），女，浙江杭州人，讲师，硕士，主要从事电子信息技术的研究。
