机械制造与自动化Issue(4)：177-180,4.
云雾条件下视频稳像的预处理
Preprocessing on Foggy and Cloudy Video Stabilization
朱晨雨 1王敬东 1吴蔚 2黄文娟1
作者信息
- 1. 南京航空航天大学 自动化学院，江苏 南京210016
- 2. 中国电子科技集团 第28研究所，江苏 南京210007
- 折叠
摘要
Abstract
The video images affected by the fog and cloud are always misty and low-contrast. This can make the accuracy of the feature point low, which impacts the motion parameter and results in the low precision, even the failure of the image stabilization. The improved two-dimensional OTSU algorithm is proposed in this paper, which is used to gain the clear area in the image, so that the feature points can be detected correctly during the video stabilization. Image enhancement and multiple segmentation are used to improve the algorithm, which make it more effective in different conditions. Therefore, eight-neighborhood method is used to elimi-nate outlier. Experimental results show that the algorithm above can be applied to the different conditions, which can be used to ob-tain enough feature points correctly in real time. The solid foundation is laid for the video stabilization.关键词
图像预处理/OTSU算法/图像增强/视频稳像Key words
image preprocessing/OTSU algorithm/image enhancement/video stabilization分类
信息技术与安全科学引用本文复制引用
朱晨雨,王敬东,吴蔚,黄文娟..云雾条件下视频稳像的预处理[J].机械制造与自动化,2016,(4):177-180,4.
