An enhancement of ladar image based on SFLA algorithm

DOI

10.2991/icmt-13.2013.208How to use a DOI?

Keywords

FSFLA algorithm,mean square error function, laser radar, image enhancement

Abstract

Because resulting image of laser radar echo signal is weak, it is necessary to improve the relative gray scale of each point. This article proposed an adaptive image enhancement algorithm based on FSFLA (A Fast Shuffled Frog Leaping Algorithm). This algorithm is based on a fast shuffled frog leaping algorithm with larger scan scope, faster convergence rateandshorter computing time. When the algorithm is applied into ladar image, the effect of image enhancement is faster to achieve compared to tradition SFLA algorithm. As a result, this algorithm is more applicable in actual occasion. Under the condition of 24 given initial value, SFLA needs to convergent 20 times to achieve stability in average while FSFLA only needs 6 times in average, thus greatly improving the computing time.

Copyright

© 2013, 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  - Zhen Zeng
AU  - Lin Lu
AU  - Yuanqin Wang
PY  - 2013/11
DA  - 2013/11
TI  - An enhancement of ladar image based on SFLA algorithm
BT  - Proceedings of 3rd International Conference on Multimedia Technology(ICMT-13)
PB  - Atlantis Press
SP  - 1712
EP  - 1719
SN  - 1951-6851
UR  - https://doi.org/10.2991/icmt-13.2013.208
DO  - 10.2991/icmt-13.2013.208
ID  - Zeng2013/11
ER  -