@inproceedings{4be063762db548899797cbd6ba8c2c53,
title = "An Image Registration Algorithm Based on Slope and Distance Ratio Constraints",
abstract = "In order to solve the problems of long time and low accuracy in scale-invariant feature transform (SIFT) image registration, an improved SIFT image registration method based on slope and distance ratio constraints is proposed in this paper. First, the images are registration with SIFT algorithm, and a special type of error match elimination method is given. Then the matching results are screened according to the matching slope, and finally the matching results are purified by the constraint of distance ratio. Experiment results show that the method has good robustness and can reduce the time of matching process effectively in different images.",
keywords = "feature matching, image registration, scale-invariant feature transform, slope and distance ratio constraints",
author = "Haibo Huang and Xiangfei Nie and Zegang DIng and Xiaoling Li and Yue Zhang and Liyuan Feng",
note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 2019 IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2019 ; Conference date: 11-12-2019 Through 13-12-2019",
year = "2019",
month = dec,
doi = "10.1109/ICSIDP47821.2019.9173328",
language = "English",
series = "ICSIDP 2019 - IEEE International Conference on Signal, Information and Data Processing 2019",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "ICSIDP 2019 - IEEE International Conference on Signal, Information and Data Processing 2019",
address = "United States",
}