投影微分法实现多光谱成像仪的自动对焦控制

张艳超; 孙强; 赵建; 李也凡; 韩希珍; 白晶

doi:10.3788/OPE.20132108.2023

您当前的位置：

首页 >

文章列表页 >

投影微分法实现多光谱成像仪的自动对焦控制

微纳技术与精密机械 | 更新时间：2020-08-12

- 投影微分法实现多光谱成像仪的自动对焦控制
- Auto-focusing adjustment of multi-spectral imager by differential projection method
- 光学精密工程 2013年21卷第8期页码：2023-2030
- 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,中国,130033
  2. 中国科学院大学北京,中国,100049
- 作者简介：
- 基金信息：
  
  中国国家自然科学基金();科技厅重点项目()
- DOI：10.3788/OPE.20132108.2023
  中图分类号： TP751;TP391.41
- 收稿日期：2012-07-03，
  
  修回日期：2012-09-06，
  
  网络出版日期：2013-08-20，
  
  纸质出版日期：2013-08-15
- 稿件说明：
移动端阅览
张艳超孙强赵建李也凡韩希珍白晶. 投影微分法实现多光谱成像仪的自动对焦控制[J]. 光学精密工程, 2013,21(8): 2023-2030

ZHANG Yan-chao SUN Qiang ZHAO Jian LI Ye-fan HAN Xi-zhen BAI Jing. Auto-focusing adjustment of multi-spectral imager by differential projection method[J]. Editorial Office of Optics and Precision Engineering, 2013,21(8): 2023-2030
张艳超孙强赵建李也凡韩希珍白晶. 投影微分法实现多光谱成像仪的自动对焦控制[J]. 光学精密工程, 2013,21(8): 2023-2030 DOI： 10.3788/OPE.20132108.2023.

ZHANG Yan-chao SUN Qiang ZHAO Jian LI Ye-fan HAN Xi-zhen BAI Jing. Auto-focusing adjustment of multi-spectral imager by differential projection method[J]. Editorial Office of Optics and Precision Engineering, 2013,21(8): 2023-2030 DOI： 10.3788/OPE.20132108.2023.

摘要

基于投影微分算法提出了一种应用于多光谱成像仪的自动对焦方法，该方法结合图像处理单元和多个波段的探测器调焦辅助机构来同时实现多个波段的独立自动对焦。首先，根据观测需要对自动对焦窗口进行手动选取，或结合投影微分与目标边缘的对应关系进行对焦窗口的自动选择；然后，将参与自动对焦计算的图像的对焦窗口内的数据做x与y方向投影，对这两个方向投影数组的微分1范数均值求均方根，并将其作为该帧图像的清晰度评价值；最后，结合经典的爬山搜索算法，完成系统的自动对焦过程。实验结果显示，同等条件下投影微分算法与经典的Brenner、能量梯度及Roberts梯度和算法具有同样好的评价效果，能够准确地实现系统的自动对焦，而其算法时间分别仅为这3种算法的0.67、0.33和0.33倍。这些结果表明，投影微分算法具有良好的单峰性与无偏性、较高的灵敏度及很好的实时性，能够满足系统的高精度自动对焦要求。

Abstract

An auto-focusing method used for the multi-spectral imagers was proposed based on differential projection. The method uses an image processing unit and auxiliary focusing equipment of sensors to implement the auto-focusing processes for different spectral bands separately and simultaneously. Firstly

the focusing window was delimited manually according to the observation needs or was searched automatically on the basis of the corresponding relations of differential projection and target edges. Then

the focusing window data of the image to be focused and calculated were projected in x-direction and y-direction

the 1th norm of the two projection arrays' first order differential values was derived and the mean of the two sets of 1st norm data was computed. Furthermore

the RMS of the two means was taken as the definition evaluation value of this image. Finally

combined with the classic mountain climb-searching method

the auto-focusing process was finished. Experimental results indicate that the auto-focusing method based on differential projection can be realized accurately

and it has the same effect with the classic Brenner

energy gradient and Roberts gradient algorithm

approximately. However

the running time of differential projection is only 0.67 times of Brenner

0.33 times of Energy gradient

and 0.33 times of Roberts gradient. With the advantages of its strong single peak features

good unbiased characteristics

high sensitivity and excellent real-time

the method can meet the requirements of high-precision auto-focusing very well.

关键词

Keywords

references

周毅刚，王勇.基于倒谱分析的脉冲激光测距抗云烟干扰算法[J].红外与激光工程，2011,40（9）：1677-1681.ZHOU Y G, WANG Y. Anti-interference algorithm of clouds and smog for pulse laser range measurement based on cepstrum analysis[J]. Infrared and Laser Engineering, 2011, 40(9): 1677-1681. (in Chinese)[2]王欣，安志勇，杨瑞宁.基于图像清晰度评价函数的CCD摄像机自动调焦技术研究[J].长春理工大学学报(自然科学版),2008,31(1):11-14.WANG X, AN ZH Y, YANG R N. The research of CCD camera auto-focusing technology based on image definition criterion[J]. Journal of Changchun University of Science and Technology (Natural Science Edition), 2008, 31(1): 11-14. (in Chinese)[3]圣钱生，张桂英，吴有俊,等.基于DaVinci的自动对焦算法研究及实现[J].通信技术，2012,1(45):56-58.SHENG Q SH, ZHANG G Y, WU Y J, et al.. Research on auto focus algorithm and realization based on davinci platform[J]. Communications Technology, 2012, 1(45): 56-58. (in Chinese)[4]杨金峰，赵辉，刘伟文.基于区域离散性的自动调焦算法[J].红外与激光工程，2011,40(11):2286-2289.YANG J F, ZHAO H, LIU W W. Auto-focus algorithm based on dispersion of areas[J]. Infrared and Laser Engineering, 2011, 40(11): 2286-2289.[5]梁敏华，吴志勇，陈涛.采用最大灰度梯度法实现经纬仪自动调焦控制[J].光学精密工程，2009,17（12）：3016-3021.LIANG M H, WU ZH Y, CHEN T. Auto-focusing adjustment of theodolites by largest the gradient method [J]. Opt. Precision Eng., 2009, 17(12): 3016-3021. (in Chinese)[6]吴小翠，郭斯羽，易国.基于边界梯度的自动调焦评价函数[J].计算机系统应用，2010, 19(3)：45-48.WU X C, GUO S Y, YI G. Evaluation function for automatic focusing based on boundary gradients [J]. Computer Systems &Applications, 2010, 19(3): 45-48. (in Chinese)[7]罗钧，孙力，闵志胜.变焦跟踪曲线在对焦应用中的应用[J].光学精密工程，2011,19(10):2326-2332.LUO J, SUN L, MIN ZH SH. Application of zoom tracking curves in focusing[J]. Opt. Precision Eng., 2011, 19(10): 2326-2332. (in Chinese)[8]王昕.含噪声图像的多聚焦融合算法[J].光学精密工程，2011,19(12):2977-2984.WANG X. Multi-focus fusion algorithm for noisy images [J]. Opt. Precision Eng., 2011, 19(12): 2977-2984. (in Chinese)[9]范媛媛，沈湘衡，桑英军.基于对比度敏感度的无参考图像清晰度评价[J].光学精密工程，2011,19(10)：2485-2493.FAN Y Y, SHEN X H, SANG Y J. No reference image sharpness assessment based on contrast sensitivity [J]. Opt. Precision Eng., 2011, 19(10): 2485-2493. (in Chinese)[10]陈立国，王明月，杨治亮,等.显微视觉快速自动调焦方法及实验[J].光学精密工程，2010,18(6):1361-1366.CHEN L G, WANG M Y, YANG ZH L, et al.. Fast autofocus method for microscopic computer vision [J]. Opt. Precision Eng., 2010, 18(6): 1361-1366. (in Chinese)[11]冯精武，喻擎苍，芦宁,等.调焦系统中数字图像清晰度评价函数的研究[J].机电工程，2011,28(3)：354-368.FENG J W, YU Q C, LU N, et al.. Definition evaluation function of digital image in auto-focusing system[J]. Journal of Mechanical &Electrical Engineering, 2011, 28(3): 354-368. (in Chinese)[12]黄艳，徐巧玉，叶东,等.基于微分图像自相关的自动对焦法[J].光学学报，2010,30(12)：3435-3440.HUANG Y, XU Q Y, YE D, et al.. Auto-focus method based on autocorrelation of derivative image [J]. Acta Optica Sinica, 2010, 30(12): 3435-3440. (in Chinese)[13]宫光勇，何文忠，高旭辉.红外系统中自动调焦爬山搜索算法的优化设计[J].红外与激光，2007,37(11)：1213-1215.GONG G Y, HE W Z, GAO X H. Optimized mountain climb-searching of auto-focusing in infrared imaging system [J]. Laser & Infrared, 2007, 37(11):1213-1215. (in Chinese)[14]金雪，马卫红.图像调焦过程的清晰度评价函数研究[J].光学仪器，2012,34(1):59-64.JIN X, MA W H. Study on image definition evaluation function in auto-focusing process [J]. Optical Instruments, 2012, 34(1): 59-64. (in Chinese)

浏览量

111

下载量

CSCD

文章被引用时，请邮件提醒。

提交

工具集

关联资源

广角天文望远镜的自动调焦

离焦模糊图像清晰度评价函数的分析与改进

对数功率谱离焦深度法在多光谱成像仪的应用

轻武器光学瞄具的视差参数测试

基于图像处理的微装配自动调焦系统