微型机与应用2016，Vol.35Issue(21)：40-41,44,3.DOI:10.19358/j.issn.1674-7720.2016.21.012
一种基于SIFT特征的铁道检测图片的匹配方法
A method of matching railway detecting images based on SIFT feature
马彦昭 1胡浩基 1王曰海1
作者信息
- 1. 浙江大学 信息与电子工程学院,浙江 杭州 310027
- 折叠
摘要
Abstract
A method of matching railway detecting images based on Scale-Invariant Feature Transform (SIFT) feature is proposed.The interest area of railway is labelled manually.Then the numbers of SIFT features are got where every import image matches with aim image.The Dynamic Time Warping (DTW) method is used to get a global optimum result, and a best matching image is obtained from the matching results and the output is used to detect the road.It's been proved by experiment this method has a good performance both on efficiency and accuracy.关键词
匹配/铁道/SIFT特征/DTWKey words
match/railway/SIFT feature/DTW分类
计算机与自动化引用本文复制引用
马彦昭,胡浩基,王曰海..一种基于SIFT特征的铁道检测图片的匹配方法[J].微型机与应用,2016,35(21):40-41,44,3.
