计算机工程与应用2016，Vol.52Issue(16)：137-141,5.DOI:10.3778/j.issn.1002-8331.1410-0103
一种快速的加权矢量图像匹配方法
Fast weighted vector image matching algorithm
摘要
Abstract
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 and gets the approximate position of the image. According to the feature point’s descriptor and its position, accuracy location of image can be found and rapid positioning of the product can be achieved through weighed vector matching at last. Exper-imental results show that this algorithm is reliable and speedy that can satisfy the real-time requirements for industrial pro-duction.关键词
图像匹配/加权矢量匹配/形状上下文/特征描述子Key words
image matching/weighted vector matching/shape context/feature descriptor分类
信息技术与安全科学引用本文复制引用
王宪保,潘海飞,章国琼,何文秀,姚明海..一种快速的加权矢量图像匹配方法[J].计算机工程与应用,2016,52(16):137-141,5.基金项目
浙江省自然科学基金（No.LZ14F030001，No.LY14F030009）。 （）
