摘要
提出了一种基于马尔科夫随机场和遗传算法的图像恢复的方法 .线过程作为约束条件 ,二维遗传算法作为最优化工具 .实验中对退化的二值图像进行恢复 ,结果显示此方法是有效的 .
This paper presents an image restoration method based on Markov random fields. The line process is added as a restrictive term, and the two dimensional genetic algorithm is presented as optimal tool. The blurred binary images are restored in the experiments. The experiment results show that the method presented is valid.
出处
《上海大学学报(自然科学版)》
CAS
CSCD
2000年第4期355-358,共4页
Journal of Shanghai University:Natural Science Edition
基金
国家自然科学基金!( 69875 0 0 9)
上海高教青年基金资助项目!( 98QN5 2 )
关键词
MARKOV随机场
遗传算法
染色体
图像恢复
Markov random fields
line process
gene
genetic algorithms
chromosome
energy function