一种快速的加权矢量图像匹配方法  

Fast weighted vector image matching algorithm

作　　者：王宪保[1] 潘海飞[1] 章国琼 何文秀[1] 姚明海[1] WANG Xianbao;PAN Haifei;ZHANG Guoqiong;HE Wenxiu;YAO Minghai(College of Information Engineering, Zhejiang University of Technology, Hangzhou 310023, China)

机构地区：[1]浙江工业大学信息工程学院,杭州310023

出　　处：《计算机工程与应用》2016年第16期137-141,共5页Computer Engineering and Applications

基　　金：浙江省自然科学基金(No.LZ14F030001;No.LY14F030009)

摘　　要：为了解决工业生产中产品的快速定位,提出了一种快速的图像匹配方法。首先运用Surf算法提取出图像的特征点,然后运用形状上下文特征进行匹配,得到图像的大致位置,最后依据特征点描述子及其位置特征,通过加权矢量匹配的方式得到图像的精确位置,实现产品的快速定位。该算法稳定性高,计算速度快。实验结果表明,该算法能满足实时的工业生产要求。This paper proposes an image matching method for rapid positioning of products in industrial production. Firstly,this paper uses SURF algorithm to extract image feature points, then utilizes shape context feature to match images andgets the approximate position of the image. According to the feature point’s descriptor and its position, accuracy locationof image can be found and rapid positioning of the product can be achieved through weighed vector matching at last. Experimentalresults show that this algorithm is reliable and speedy that can satisfy the real-time requirements for industrial production.

关 键 词：图像匹配 加权矢量匹配 形状上下文 特征描述子 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]