基于序列图像提高光斑质心定位精度

钱锋; 杨名宇; 张晓沛

doi:10.3788/OPE.20162411.2880

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基于序列图像提高光斑质心定位精度

信息科学 | 更新时间：2020-07-07

- 基于序列图像提高光斑质心定位精度
- Improvement of localization accuracy of spot centroid based on sequential images
- 光学精密工程 2016年24卷第11期页码：2880-2888
- 作者机构：
  
  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 100049
  3.加利福尼亚大学洛杉矶分校亨利·萨缪里工程与应用科学学院, 美国, 加利福尼亚州, 洛杉矶市, CA 90095
- 作者简介：
  
  钱锋(1987-),男,湖南长沙人,博士研究生,2011年于中国科学技术大学获得工学学士学位,主要研究方向为图像处理与目标识别. E-mail:zilgard@126.com. E-mail:zilgard@126.com.
  [ "杨名宇(1983-),男,吉林松原人,博士,助理研究员,2006年于吉林大学获得学士学位,2012年于中国科学院自动化研究所获得博士学位,主要从事可见光和红外图像中目标检测、目标分割方面的研究。E-mail:ymy1983@163.com" ]
  [ "张晓沛(1994-),男,吉林长春人,本科生,现就读于美国加利福尼亚大学洛杉矶分校,亨利·萨缪里工程与应用科学学院,电子工程专业,主要从事机器视觉、人工智能技术研究。E-mail:zxpmirror1994" ]
- 基金信息：
  
  中国科学院长春光学精密机械与物理研究所重点发展项目(No.y3cx1ss14c);中科院航空光学成像与测量重点实验室科研基金资助项目(No.y3hc1sr141)
- DOI：10.3788/OPE.20162411.2880
  中图分类号： TP391.4
- 收稿日期：2016-03-24，
  
  录用日期：2016-5-23，
  
  纸质出版日期：2016-11-25
- 稿件说明：
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钱锋, 杨名宇, 张晓沛. 基于序列图像提高光斑质心定位精度[J]. 光学精密工程, 2016,24(11):2880-2888.

Feng QIAN, Ming-yu YANG, Xiao-pei ZHANG. Improvement of localization accuracy of spot centroid based on sequential images[J]. Editorial office of optics and precision engineeri, 2016, 24(11): 2880-2888.
钱锋, 杨名宇, 张晓沛. 基于序列图像提高光斑质心定位精度[J]. 光学精密工程, 2016,24(11):2880-2888. DOI： 10.3788/OPE.20162411.2880.

Feng QIAN, Ming-yu YANG, Xiao-pei ZHANG. Improvement of localization accuracy of spot centroid based on sequential images[J]. Editorial office of optics and precision engineeri, 2016, 24(11): 2880-2888. DOI： 10.3788/OPE.20162411.2880.

摘要

针对激光模拟射击系统对激光光斑进行快速、高精度质心定位的要求，提出了一种基于视频序列图像的光斑检测与高精度质心定位方法。该方法首先利用帧间差分图像和噪声估计参数对射击突发事件进行检测；然后利用噪声估计方法确定光斑的分割阈值，结合形态学滤波对目标光斑和背景噪声进行有效分割，提取光斑区域，同时降低窗口内外噪声。最后，用4帧差分图像合成1帧高分辨率的图像来抑制图像噪声和计算误差的影响，实现光斑质心的高精度定位。实验结果表明，本文方法的光斑质心定位精度与稳定性均优于传统的方法；其中光斑质心定位精度达到了亚像素级别，稳定性度量平均值为0.000 49，优于传统方法的0.002 97。得到的结果显示，提出的方法有助于提升激光射击系统的性能。

Abstract

To meet the requirements of a laser firing simulation system for high speed and high accurate location of laser spot centroids

a novel method based on the video sequential images is proposed for the spot detection and spot centroid location. The method firstly detects the firing events by the subtraction image between every two sequential frames and by the estimated noise parameters. Then

it uses the noise estimation to determine the segmenting threshold of the spot and combines morphologic filtering techniques to extract the spot region out from the background

meanwhile reducing the noises inside and outside of the window. Finally

one high resolution image is generated from 4 subtraction images to decrease the image noise and computing errors and to improve the locating accuracy of the spot centroid. Experimental results indicate that the spot centroid localization precision of laser spot and the average measurement stability of the proposed method are superior to that of the conventional method. The spot centroid localization precision has been reached to sub-pixel level

and the average measurement stability is 0.000 49

far better than the conventional 0.002 97. The method in this study is conductive to improving the performance of laser firing simulation systems.

关键词

Keywords

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