Strapdown Image Homing System Sensor and Digital Compound Image Stabilization

FANG Dan; GUO Xiao-ran; CUI Shao-hui

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Strapdown Image Homing System Sensor and Digital Compound Image Stabilization

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- Strapdown Image Homing System Sensor and Digital Compound Image Stabilization
- Vol. 33, Issue 3, Pages: 50-55(2016)
- 作者机构：
  
  1. 军械工程学院导弹工程系,河北,石家庄,050003
  2. 军械技术研究所,河北,石家庄,050000
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2016
- 稿件说明：
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方丹, 郭晓冉, 崔少辉. 捷联图像导引系统传感器数字复合式稳像方法[J]. 微电子学与计算机, 2016, 33(3): 50-55.

FANG Dan, GUO Xiao-ran, CUI Shao-hui. Strapdown Image Homing System Sensor and Digital Compound Image Stabilization[J]. 2016, 33(3): 50-55.
方丹, 郭晓冉, 崔少辉. 捷联图像导引系统传感器数字复合式稳像方法[J]. 微电子学与计算机, 2016, 33(3): 50-55. DOI：

FANG Dan, GUO Xiao-ran, CUI Shao-hui. Strapdown Image Homing System Sensor and Digital Compound Image Stabilization[J]. 2016, 33(3): 50-55. DOI：

摘要

针对传感器稳像与数字稳像各具优势而又存在不足的问题

提出了传感器稳像与数字稳像相结合的复合式稳像方法

实现两种方法之间的优势互补.首先

利用SIFT算法检测图像中的特征点

并在特征点匹配部分将陀螺数据解算出的像面位移量所指向的匹配点位置作为特征点匹配时的初始搜索位置

指示当前帧在参考帧中以该匹配点位置为中心的一定大小矩形区域内搜索匹配特征点; 然后

利用欧式距离最短的几对匹配点在仿射变换模型下计算出帧间变换矩阵; 最后

利用基于视觉暂留机制的参考帧更新方法

对每一幅当前帧图像进行重建

完成视频序列的复合式稳像.实验结果表明

该方法在保证较高稳像精度的同时

降低了数字稳像方法的计算量

提升了运算速度

可满足捷联图像导引系统对稳像精度及实时性的要求.

Abstract

For the sensor image stabilization and digital image stabilization each has its advantages and insufficient

a compound image stabilization algorithm is proposed. First of all

the feature points are extracted using SIFT algorithm

and the indicated position by gyro data is made as the center point of initial sourcing position in a certain size rectangular area to search for matching feature points. Then

the interframe transformation matrix under affine transformation model is calculated using the shortest euclidean distance of matching point pairs. Finally

using the reference frame update method based on the mechanism of persistence of vision

each current frame image is reconstruction

and the compound stabilization algorithm is completed. Experimental results show that the compound image stabilization method is reducing the computational method of digital image stabilization and improving the speed of operation

it can meet the requirement for image stabilization precision and real-time performance of the strapdown image guidance system.

关键词

Keywords

references

Junlan Yang, Dan Schonfeld, Magdi Mohamed. Robust video stabilization based on particle filter tracking of projected camera motion[J]. IEEE Transactions on Circuits and Systems for Video Technology, 2009, 19(7): 945-954. DOI: 945

Wang Peng, Zhao Yuejin, Dong Liquan, et al. A novel small area fast block matching algorithm based on high-accuracy gyro in digital image stabilization [C]// Proceedings of the SPIE Conference. San Diego, 2010: 78501A-1-11.

Yao Shen, Parthasarathy Guturu, Thyagaraju Damarla. Video stabilization using principal component analysis and scale invariant feature transform in particle filter framework[J]. IEEE Transactions on Consumer Electronics, 2009, 55(3): 1714-1721. DOI: 1714

Zhang Yongxiang, Zhang Weiqong, Zhao Xiaoyu, et al. Study on electronic image stabilization system based on mems gyro [C]// Proceeings of International Conference on Electronic Computer Technology. Singapore, 2009: 641-643.

郭晓冉, 崔少辉. 透视变换模型的Harris图像配准[J]. 微电子学与计算机, 2014, 31(4): 18-22. DOI: 18

郭晓冉, 崔少辉. 局部特征点的鲁棒性数字稳像[J]. 光电工程, 2013, 40(5): 106-112. DOI: 106

王鹏, 赵跃进, 孔令琴, 等. 改进块匹配宏块的快速传感器电子稳像方法[J]. 光子学报, 2012, 41(9): 1065-1070. DOI: 1065

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