Auto-focusing adjustment of multi-spectral imager by differential projection method

ZHANG Yan-chao; SUN Qiang; ZHAO Jian; LI Ye-fan; HAN Xi-zhen; BAI Jing

doi:10.3788/OPE.20132108.2023

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Auto-focusing adjustment of multi-spectral imager by differential projection method

更新时间：2020-08-12

- Auto-focusing adjustment of multi-spectral imager by differential projection method
- Optics and Precision Engineering Vol. 21, Issue 8, Pages: 2023-2030(2013)
- 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：
- DOI：10.3788/OPE.20132108.2023
  CLC： TP751;TP391.41
- Received：03 July 2012，
  
  Revised：06 September 2012，
  
  Published Online：20 August 2013，
  
  Published：15 August 2013
- 稿件说明：
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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

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Related Institution

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山东临沂师范学院

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