A novel camera parameters auto-adjusting method based on image entropy

Authors:
Huimin Lu;Hui Zhang;Shaowu Yang;Zhiqiang Zheng
Affiliations:
College of Mechatronics and Automation, National University of Defense Technology, Changsha, China;College of Mechatronics and Automation, National University of Defense Technology, Changsha, China;College of Mechatronics and Automation, National University of Defense Technology, Changsha, China;College of Mechatronics and Automation, National University of Defense Technology, Changsha, China
Venue:
RoboCup 2009
Year:
2010

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Abstract

How to make vision system work robustly under dynamic light conditions is still a challenging research focus in robot vision community. In this paper, a novel camera parameters auto-adjusting method based on image entropy is proposed. Firstly image entropy is defined and its relationship with camera parameters is verified by experiments. Then how to optimize the camera parameters based on image entropy is proposed to make robot vision adaptive to the different light conditions. The algorithm is tested using the omnidirectional vision system in indoor RoboCup Middle Size League environment and outdoor RoboCup-like environment, and the results show that our method is effective and color constancy to some extent can be achieved.