基于优化的SURF算法的图像融合技术  

Image Fusion Technology Based on Improved SURF Algorithm

作　　者：陆柳杰 胡广朋 包文祥 LU Liujie;HU Guangpeng;BAO Wenxiang(School of Computer Science, Jiangsu University of Science and Technology, Zhenjiang 212000)

机构地区：[1]江苏科技大学计算机学院

出　　处：《计算机与数字工程》2019年第7期1684-1687,1814,共5页Computer & Digital Engineering

摘　　要：针对SIFT算法检测特征点耗时长、特征点描述子维数过高的问题,BAY等于2006年提出了SURF算法,该算法广泛应用于图像拼接、模式识别和医学图像等领域,论文针对目前基于SURF算法的图像拼接过程中特征点匹配精度不高、拼接速度慢的问题,提出了一种优化的图像拼接方法。In order to solve the problem that the SIFT algorithm detecting the time of feature point and the high number of describing sub dimension of the feature point,BAY et al.have proposed the SURF algorithm in 2006,which is widely used in image splicing,pattern recognition and medical image.This paper proposes an optimized image splicing method based on the problem of low matching accuracy and slow splicing speed of feature points in image splicing process based on SURF algorithm.

关 键 词：图像融合 SURF算法 特征点匹配 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]