An Eliminating Brightness Differences Algorithm for Lunar Surface Image

DOI

10.2991/icmmcce-15.2015.323How to use a DOI?

Keywords

Image enhancement; Color components; Relative constraint; Lunar surface image

Abstract

For solving effect and real-time performance problems of lunar surface image, the paper proposed an eliminating brightness differences algorithm of lunar surface image by correlation of color components fitting gray level map function. Feature points were obtained by matching in process image, which could establish normalized RGB vector space. The max-relativity feature points were chosen by correlation of color components and random sample consensus algorithm. The gray level map function was fitted by RANSAC and matching feature points, which could eliminate different brightness between two images. The experimental results show that this method could not only eliminate different brightness between lunar surface images, but also meet real-time processing requirement of lunar rover.

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  - Ying Hou
AU  - Guicai Wang
PY  - 2015/12
DA  - 2015/12
TI  - An Eliminating Brightness Differences Algorithm for Lunar Surface Image
BT  - Proceedings of the 4th International Conference on Mechatronics, Materials, Chemistry and Computer Engineering 2015
PB  - Atlantis Press
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmmcce-15.2015.323
DO  - 10.2991/icmmcce-15.2015.323
ID  - Hou2015/12
ER  -