An Eliminating Brightness Differences Algorithm for Lunar Surface Image
Ying Hou, Guicai Wang
Available Online December 2015.
- https://doi.org/10.2991/icmmcce-15.2015.323How to use a DOI?
- Image enhancement; Color components; Relative constraint; Lunar surface image
- 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.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
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 - https://doi.org/10.2991/icmmcce-15.2015.323 ID - Hou2015/12 ER -