南京理工大学学报（自然科学版）2016，Vol.40Issue(2)：165-171,7.DOI:10.14177/j.cnki.32-1397n.2016.40.02.006
一种面向图像拼接的快速匹配算法
Fast matching algorithm for image mosaic
摘要
Abstract
Aiming at the problems of the large computation,the poor real-time and the mismatching of the scale invariant feature transform( SIFT) algorithm for image mosaic,a Radon-SIFT method based on the adaptive non-maxima suppression(ANMS)is proposed here. Firstly,this method uses feature detector of SIFT to extract initial feature points,and then the initial feature points are preferred by ANMS,so the feature point set of uniform distribution is obtained. Secondly,series of lines are made in the feature area. Image Radon transform integral values on the lines are adopted as feature vector descriptors and the features are matched by the measure criterion of the Euclidean distance. The Random sample consistency ( RANSAC ) algorithm is used to eliminate mismatching points and the computation speed and the correct matching rate are improved. Simulation results show that the proposed algorithm has the higher accuracy and robustness,and the amount of its arithmetic operation is reduced.关键词
图像匹配/尺度不变特征变换/自适应非极大值抑制/Radon变换/随机抽样一致性Key words
image matching/scale invariant feature transform/adaptive non-maxima suppression/Radon transform/random sample consistency分类
信息技术与安全科学引用本文复制引用
赵小强,岳宗达..一种面向图像拼接的快速匹配算法[J].南京理工大学学报（自然科学版）,2016,40(2):165-171,7.基金项目
国家自然科学基金(51265032 （）
61263003) （）
甘肃省基础研究创新群体(1506RJIA031) （1506RJIA031）
