Infrared image edge detection applied research based on improved ant colony algorithm

DOI

10.2991/asei-15.2015.31How to use a DOI?

Keywords

Histogram equalization method, Infrared image, Ant colony algorithm

Abstract

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.

Copyright

© 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/).

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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  -