第23卷第6期 2015年6月
文章编号
1004924X(2015)06-176806
光学精密工程
Optics and Precision Engineering
投影特征峰匹配的快速电子稳像张艳超1,2，王芳1，赵建1，刘建卓1，王飞3，孙强（1.中国科学院长春光学精密机械与物理研究所，吉林长春130033；
2.中国科学院大学，北京100039；
3.总装备部工程兵科研一所，江苏无锡214035）
Vol, 23No.6
Jun,2015
摘要：提出了一种基于投影最大特征峰匹配的稳像算法来进一步提高灰度投影稳像算法的实时性。首先，将参考赖与当前顿图像等分为若于区域子块，根据灰度投影计算公式分别计算每个子块的水平投影和重直投影；依次计算两赖图像相应子块中对应的垂直和水平投影最大待征峰的位置差值，作为相应子块的水平和垂直运动失量，然后，根据顿间运动失量变化程度进行运动失量修正。最后，根据各子块的运动失量统计结果进行全局运动估计。将该最大特征峰匹配算法运用到多光谱成像系统进行实验，并与较经典的灰度投影算法做了比较。结果表明；在保证相同的稳像效果前提下，对于分辨率为1024pixel×1024pixel的图像序列在（一60，60)搜索范围内进行运动估计时，前者比后者的运算时间节省了近20%，提出的算法突破了现有投影稳像算法需要对可能的区域逐一搜索的繁项匹配过程，具有较好的实时性和良好的稳像效果
关键词：电子稳像；灰度投影；特征峰匹配；运动信计
中图分类号：TP391
文献标识码：A
doi;10.3788/OPE.20152306.1768
Fast digital image stabilization based on characteristic peak of projection matching
ZHANG Yan-chao'-2·,WANG Fang',ZHAO Jian',LIU Jian-zhuo',WANG Fei',SUN Qiang
(l.ChangchunInstituteof Optics，FineMechanics andPhysics，
ChineseAcademy of Sciences,Changchun130033,China;
2.UniversityofChineseAcademyofSciences，Beijing100039,China;
3.TheFirstEngineerScientificResearchInstituteof the GeneralArmamentDepartment,Wuzi214035,China) Correspondingauthor，E-mail;zhangyanchaomn@126.com
Abstract: A new image stabilization algorithm based on the characteristic peak of projection matching was proposed to improve the real-time characteristics of gray projection image stabilization method Firstly, the reference frame and the current frame were divided into several sub image blocks, and the horizontal projection and vertical projection of each sub image block were calculated according to the projection calculation formula. Then, the horizontal and vertical position differences of the corresponding sub blocks' maximal projection characteristic peaks were calculated as motion vectors.
收稿日期：2014-06-20；修订日期：2014-08-05.
基金项目：国家863高技术研究发展计划资助项目（No,2013AA03A116）