Genetic Algorithm-based High Web Flow Image Processing Technology

被引：0
|
作者：
Zhao, Yang [1 ]
Wang, Xiao-dong [1 ]
Jiang, Yun-xia [1 ]
Zhang, Rui [1 ]
机构：
[1] Harbin Univ Sci & Technol, Sch Automat, Harbin, Heilongjiang, Peoples R China
来源：
INTERNATIONAL JOURNAL OF APPLIED MATHEMATICS & STATISTICS | 2013年 / 40卷 / 10期
关键词：
Genetic algorithm; web flow image processing technology; random search;
D O I：
暂无
中图分类号：
O29 [应用数学];
学科分类号：
070104 ;
摘要：
Genetic Algorithm has received great attention because of its tremendous problem-solving potential, and has been successfully applied to many industrial fields. Genetic Algorithm refers to random search algorithm based upon natural selection and genetic principle in biology. This paper first deals with the nature and characteristics of genetic algorithm. It then goes on to analyze the application in the area of high web flow image processing technology based on genetic algorithm theory. At the end, it discusses the problems of genetic algorithm in the field of image processing and provides insight into its future trajectory.
引用
收藏
页码：204 / 213
页数：10
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