文章摘要
一种快速景象匹配方法的研究
A research of fast image matching method
  
DOI:10.3969/j.issn.1671-5322.2004.03.006
中文关键词: SSDA算法  变阈值  遗传算法  分层搜索  景象匹配
英文关键词: SSDA algorithm  alterable threshold  genetic algorithms  delamination search  image matching
基金项目:
作者单位
李鹏 南京航空航天大学自动化学院江苏南京210016 
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中文摘要:
      将变阈值SSDA算法、遗传算法及分层搜索三者结合起来用于景象匹配中,从而既保留了SSDA算法的强抗干扰能力及其对匹配景象几何畸变有较好的鲁棒性,又进一步改善了SSDA算法的匹配速度,使景象匹配具有较高的实时性.
英文摘要:
      In this article, by drawing alterable threshold SSDA algorithm, genetic algorithms and delamination into a matching course, a fast image matching algorithm is presented. From the experimental results, we can draw the conclusion that the fast matching algorithm is not only of retaining the capability of restraining the noise of SSDA algorithm and the capability of restraining geometry aberration, but also of improving farther the matching speed of SSDA algorithm.
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