Improved SURF Algorithm Based On ACO
- DOI
- 10.2991/emeit.2012.2How to use a DOI?
- Keywords
- image registration, interest points, SURF, image edge detection, ACO
- Abstract
SURF (Speeded-Up Robust Features) is a scale- and rotation-invariant algorithm, which has a better repeatability, distinctiveness, robustness, and a faster computing and comparing speed. In this paper, we propose an improved SURF algorithm based on ACO (Ant Colony Optimization). First of all, the algorithm uses SURF to find all interest points. Secondly, each pixel of the original image is seen as an ant, imitates the process of ants search food to get the image edge. Finally, selects the interest points from the area around the image edge. The experimental results show that the interest points extracted by the improved SURF algorithm based on ACO are more robust, and the number of them is effectively reduced. In this way, we can reduce the amount of calculation for the subsequent image registration.
- Copyright
- © 2012, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Chao Chen AU - Xiaohong Wang AU - Shizheng Zhou PY - 2012/09 DA - 2012/09 TI - Improved SURF Algorithm Based On ACO BT - Proceedings of the 2nd International Conference on Electronic & Mechanical Engineering and Information Technology (EMEIT 2012) PB - Atlantis Press SP - 6 EP - 10 SN - 1951-6851 UR - https://doi.org/10.2991/emeit.2012.2 DO - 10.2991/emeit.2012.2 ID - Chen2012/09 ER -