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一种快速的图像小目标检测算法
引用本文:张建伟,田源.一种快速的图像小目标检测算法[J].现代电子技术,2007,30(19):141-143.
作者姓名:张建伟  田源
作者单位:河南商业高等专科学校,河南,郑州,450004
摘    要:针对图像小目标检测问题进行了研究,在分析现有研究成果的基础上,充分利用了遗传算法动态多点搜索的快速性,以及分形特征应用于目标检测的稳定性,提出一种基于遗传算法与分形特征的快速图像小目标检测算法,并对算法进行了仿真。仿真结果表明该算法有效地提高了图像小目标检测的速度。

关 键 词:小目标检测  局部分形维数  遗传算法  闲值选取法
文章编号:1004-373X(2007)19-141-03
收稿时间:2007-06-06
修稿时间:2007年6月6日

An Algorithm for Fast Detection of Image Small Object
ZHANG Jianwei,TIAN Yuan.An Algorithm for Fast Detection of Image Small Object[J].Modern Electronic Technique,2007,30(19):141-143.
Authors:ZHANG Jianwei  TIAN Yuan
Affiliation:Henan Business College, Zhengzhou,450004, China
Abstract:The research on the algorithm for fast detection of image small object is perform in this paper.The ability of dynamic multi-point searching of generic algorithm combined with stability of fractal feature applied in small object detection is fully employed,and a new algorithm for detection of image small object,based on genetic algorithm and fractal feature,is presented,and the simulation on the algorithm is carried out.The simulation results illustrate that the given algorithm has the ability for improving the speed of small object detection based on image information.
Keywords:small object detection  local fractal dimension  genetic algorithm  threshold selection method
本文献已被 CNKI 维普 万方数据 等数据库收录!
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