Infrared image edge detection applied research based on improved ant colony algorithm
B.M. Qiao, S. Li, Y. Xiao
Available Online May 2015.
- 10.2991/asei-15.2015.31How to use a DOI?
- Histogram equalization method, Infrared image, Ant colony algorithm
The paper based on the analysis of ant colony algorithm and any improved algorithm, We change the initial position of the ant placed from randomly into placed near the edge points and define bounded domain node gradient values as the heuristic information,and also adaptive computing method is used to reach the final threshold.Meanwhile histogram equalization method for image preprocessing is introduced.Simulation experiment results show that this algorithm can better continuously detected edges and test results are efficient and accurate. This algorithm provides a theoretical basis for the more effective detection in infrared image edge character.
- © 2015, 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 - B.M. Qiao AU - S. Li AU - Y. Xiao PY - 2015/05 DA - 2015/05 TI - Infrared image edge detection applied research based on improved ant colony algorithm BT - Proceedings of the 2015 International conference on Applied Science and Engineering Innovation PB - Atlantis Press SP - 141 EP - 144 SN - 2352-5401 UR - https://doi.org/10.2991/asei-15.2015.31 DO - 10.2991/asei-15.2015.31 ID - Qiao2015/05 ER -