基于优化的SURF图像拼接算法的研究
Research on Optimized SURF Image Mosaic Algorithm
都芳芳 1甘树坤 1吕雪飞1
作者信息
- 1. 吉林化工学院机电工程学院,吉林吉林 132022
- 折叠
摘要
基于SURF图像拼接算法,提出了一种改进的优化算法.首先,针对SURF算法在提取特征点时存在的计算复杂度高和匹配准确度低的问题,通过主成分分析法来优化SURF算法,降低特征点的数据维度,从而减少计算量并提高了匹配准确度.实验结果表明,所提出的优化的SURF图像拼接算法在提取特征点和匹配过程中具有更高的效率和准确度,同时在图像拼接效果上也取得了显著的改进.
Abstract
An improved optimization algorithm based on SURF image Mosaic algorithm was proposed in this paper.First,in view of the high computational complexity and low matching accuracy of SURF algorithm when extracting feature points,the principal component analysis method was used to optimize SURF algorithm to reduce the data dimension of feature points,thus reducing the computational workload and improving the matching accuracy.The experimental results showed that the proposed optimized SURF image splicing algorithm has higher efficiency and accuracy in the process of extracting feature points and matching,and has achieved significant improvement in image splicing effect.
关键词
SURF/拼接/匹配/对齐/融合Key words
SURF/mosaic/match/align/fusion引用本文复制引用
出版年
2024
NETL
NSTL
万方数据