[1]周春燕 贾渊.基于遗传算法的图像配准研究及改进[J].计算机技术与发展,2011,(08):46-49.
　ZHOU Chun-yan,JIA Yuan.Research and Improvement of Image Registration Based on Genetic Algorithm[J].,2011,(08):46-49.
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基于遗传算法的图像配准研究及改进()
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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
期数:
2011年08期
页码:
46-49
栏目:
智能、算法、系统工程
出版日期:
1900-01-01

文章信息/Info

Title:
Research and Improvement of Image Registration Based on Genetic Algorithm
文章编号:
1673-629X（2011）08-0046-04
作者:
周春燕 贾渊
西南科技大学计算机科学与技术学院
Author(s):
ZHOU Chun-yan; JIA Yuan
College of Computer Sci.and Tech.,Southwest University of Science and Technology
关键词:
立体匹配; 遗传算法; 边缘检测; Rank变换
Keywords:
stereo matching;  genetic algorithm;  edge detection;  Rank transform
分类号:
TN911.73
文献标志码:
A
摘要:
应用立体匹配技术,通过像点获取景物的距离信息,使得三维立体再现成为可能。图像的立体匹配是立体视觉中的一个关键问题,也是典型的＂病态＂问题。为了提高匹配的抗干扰能力以及全局最优性,提出了将改进的遗传算法用于立体匹配。选择图像边缘作为匹配基元,根据遗传算法容易获得全局最优解的特点,将图像的特征点进行染色体编码并重新设计比较了评价函数及相应的遗传操作,使之适合于立体匹配,并将图像的Rank变换加入其中,以提高算法的抗噪性。实验表明,该方法具有可行性
Abstract:
Using stereo matching technique and the image point distance information can make the three-dimensional representation possible.The stereo image matching is a key problem for stereo vision,and also it＇s a typical ＂pathological＂ problem.In order to improve the matching anti-interference ability and global optimal solution,a new approach to stereo matching using the improved genetic algorithm was proposed.Image edge is used as matching primitive.According to the characteristic that genetic algorithm can easily acquire entirely optimal answers,feature points in the image are encoded as chromosomes.The evaluation function and the corresponding genetic operators are redesigned to fit in the stereo matching.Rank transform of the image is used in order to improve the antinoise ability of the algorithm.Experimental results show that the proposed method is effective

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备注/Memo

备注/Memo:
国家863项目（2008AA10Z211）; 校博士基金项目（08zx7101）周春燕（1985-），女，河北唐山人，硕士研究生，研究方向为机器视觉、图像处理技术；贾渊，博士，副研究员，研究方向为图像处理、机器视觉技术
更新日期/Last Update: 1900-01-01