基于兴趣区域的特征匹配的电子稳像方法

吉林大学学报(信息科学版) ›› 2016, Vol. 34 ›› Issue (3): 390-395.

基于兴趣区域的特征匹配的电子稳像方法

吉淑娇¹, 雷艳敏¹, 朱摇明²

1. 长春大学电子信息工程学院, 长春130022; 2. 中国科学院大学长春光学精密机械与物理研究所, 长春130033

收稿日期:2015-05-06 出版日期:2016-05-25 发布日期:2016-12-21
作者简介:吉淑娇(1978—), 女, 长春人, 长春大学讲师, 博士, 主要从事电子稳像研究, (Tel)86-13843015296(E-mail)shujiaoji@ 163. com。
基金资助:
吉林省教育厅基金资助项目(2015LY502L11); 吉林省科技发展计划基金资助项目(201401084JC)

Electronic Image Stabilization Based on Feature Matching of ROI

JI Shujiao¹, LEI Yanmin¹, ZHU Ming²

1. School of Electronic and Information Engineering, Changchun University, Changchun 130022, China;2. Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033,China

Received:2015-05-06 Online:2016-05-25 Published:2016-12-21

摘要/Abstract

摘要：

为提高电子稳像技术中运动矢量估计的准确性, 采用基于兴趣区的特征点匹配进行运动矢量估计。该算法选取图像的兴趣区(ROI: Region of Interest)进行Harris 的特征点检测, 将ROI 内的特征点稀疏化, 利用SAD 准则在相邻帧的特征窗内寻找匹配点对和距离准则剔除误匹配点进行逐帧运动补偿。实验结果验证了该算法的有效性。

关键词: 兴趣区域, 特征窗, 距离准则

Abstract:

The key technology of electronic image stabilization is the motion vector estimation. FPS(Feature points) matching based on the ROI(Region of Interest) area is used to estimate motion vectors. Firstly, ROI of the input image was selected, then the FPS were detected by Harris. Secondly, the rule of SAD inside the
window was used to sparse the FPS and find matching point in the adjacent frame. Finally, distance criterion was applied to eliminate false match points. Results of frame by frame motion compensation show the effectiveness of the algorithm.

Key words: region of interest(ROI), feature window, rule of distance

中图分类号:

TP139. 4

吉淑娇, 雷艳敏, 朱明. 基于兴趣区域的特征匹配的电子稳像方法[J]. 吉林大学学报(信息科学版), 2016, 34(3): 390-395.

JI Shujiao, LEI Yanmin, ZHU Ming. Electronic Image Stabilization Based on Feature Matching of ROI[J]. Journal of Jilin University(Information Science Ed, 2016, 34(3): 390-395.