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[1]曹雪莲,陈水利.基于粒子群优化及多结构估计的ASIFT特征提取算法[J].集美大学学报(自然科学版),2013,18(2):139-145.
　CAO Xue-lianCHEN Shui-li.ASIFT Research Based on Particle Swarm Optimization and Multi -Structure Estimating[J].Journal of Jimei University,2013,18(2):139-145.
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《集美大学学报（自然科学版）》[ISSN:1007-7405/CN:35-1186/N]

卷:
第18卷
期数:
2013年第2期
页码:
139-145
栏目:
数理科学与信息工程
出版日期:
2013-03-25

文章信息/Info

Title:
ASIFT Research Based on Particle Swarm Optimization and Multi -Structure Estimating
作者:
曹雪莲1; 陈水利2
(1.福州大学数学与计算机科学学院,福建 福州 350108;2. 集美大学理学院,福建 厦门 361021 )
Author(s):
CAO Xue-lian1CHEN Shui-li2
(1.College of Mathematics and Computer ScienceFuzhou UniversityFuzhou 350108China2.School of ScienceJimei University Xiamen 361021China)
关键词:
图像局部特征提取; ASIFT算法; 粒子群优化; 多结构估计; Multi-GS算法
Keywords:
image local feature extraction; ASIFT algorithm; partical swarm optimization ; multi-structure estimating; multi-GS algorithm
分类号:
-
DOI:
-
文献标志码:
-
摘要:
        提出一种基于粒子群优化及多结构估计的ASIFT特征提取算法.首先用粒子群优化算法对ASIFT的采样进行优化得到大量的特征匹配点对，在此基础上再使用Multi-GS多结构估计算法进行多结构提取并去除错误的匹配点对，最终得到大量而精确的特征匹配对．并用实例加以验证其有效性
Abstract:
A ASIFT based on particle swarm optimization and multi-structure estimating was proposed.Firstly，a particle swarm optimization based sample strategy was presented in this paper to obtain a large number of feature points.Then the Multi -GS algorithm was used to estimated multi-structure and remove the wrong matching points.Finally，the precise matching pairs were extracted as much as possible.Experimental results showed that the algorithm proposed in this paper was an effective method for image featu re extraction

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更新日期/Last Update: 2014-06-28