测绘科学技术学报2017，Vol.34Issue(6)：617-621,5.DOI:10.3969/j.issn.1673-6338.2017.06.014
利用亮度排序的快速鲁棒特征描述与匹配算法
Speeded Up Robust Feature Descriptors and Matching Algorithm Based on Brightness Order
摘要
Abstract
A speeded up robust feature descriptors and matching algorithm based on brightness order is designed to overcome the problems of precision and robustness of the original SURF algorithm.Pixels are sorted and segmented according to gray values in the features support region based on the SURF algorithm.By establishing an index table,each segment of the pixel is represented to form a descriptor,and each segment of the descriptor is serially connected to form a feature descriptor to match the image.The experimental results show that the proposed method is more higher matching accuracy whose matching reliability is improved by 74.4％,and better robustness to linear or nonlinear illumination changes compared with SURF.关键词
SURF算法/亮度排序/特征匹配/索引表/特征描述符Key words
SURF algorithm/brightness order/features matching/index table/feature descriptor分类
天文与地球科学引用本文复制引用
乔玉庆,耿则勋,徐志军,卢兰鑫..利用亮度排序的快速鲁棒特征描述与匹配算法[J].测绘科学技术学报,2017,34(6):617-621,5.基金项目
国家自然科学基金项目(11373043). （11373043）
