对数功率谱离焦深度法在多光谱成像仪的应用

张艳超; 孙强; 赵建

doi:10.3788/OPE.20132103.0767

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对数功率谱离焦深度法在多光谱成像仪的应用

信息科学 | 更新时间：2020-08-12

- 对数功率谱离焦深度法在多光谱成像仪的应用
- Application of depth from defocusing based on logarithmic power spectrum to multi-spectral imager
- 光学精密工程 2013年21卷第3期页码：767-773
- 作者机构：
  
  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
- 作者简介：
- 基金信息：
  
  中国国家自然科学基金();吉林省科技厅资助项目()
- DOI：10.3788/OPE.20132103.0767
  中图分类号： TP73;TP391.41
- 收稿日期：2012-04-26，
  
  修回日期：2012-06-04，
  
  网络出版日期：2013-03-20，
  
  纸质出版日期：2013-03-15
- 稿件说明：
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张艳超孙强赵建. 对数功率谱离焦深度法在多光谱成像仪的应用[J]. 光学精密工程, 2013,21(3): 767-773

ZHANG Yan-chao SUN Qiang ZHAO Jian. Application of depth from defocusing based on logarithmic power spectrum to multi-spectral imager[J]. Editorial Office of Optics and Precision Engineering, 2013,21(3): 767-773
张艳超孙强赵建. 对数功率谱离焦深度法在多光谱成像仪的应用[J]. 光学精密工程, 2013,21(3): 767-773 DOI： 10.3788/OPE.20132103.0767.

ZHANG Yan-chao SUN Qiang ZHAO Jian. Application of depth from defocusing based on logarithmic power spectrum to multi-spectral imager[J]. Editorial Office of Optics and Precision Engineering, 2013,21(3): 767-773 DOI： 10.3788/OPE.20132103.0767.

摘要

结合多光谱成像仪的成像特点，提出了一种基于对数功率谱的离焦深度自动对焦方法。以CCD相机为图像传感器，通过主控计算机进行调焦控制与图像处理来实现多光谱成像仪的快速自动对焦。首先，将相机探测器依次处于3个等距位置各采集一幅图像，结合三点判位法判断第二幅图片与准确对焦位置的位置关系。然后，以第二幅图片为参考图片，通过对其对数功率谱的相关计算得到准确的对焦位置。最后，将探测器移动到该计算位置，完成自动对焦过程。实验结果表明，系统对焦位置标准差为0.159 9 mm，最大偏差值控制在0.4 mm以内，能够较好地满足系统的实时自动对焦要求。该调焦算法只需3幅图片即可完成自动对焦过程，具有调焦迅速，准确度高等特点。

Abstract

According to the characteristics of a multi-spectral imager

an auto-focusing method was proposed based on the depth from defocusing of logarithmic power spectrum. By making use a CCD as the image sensor

the auto-focusing of the multi-spectral imager was quickly implemented by using a host computer for focusing controlling and data processing. Firstly

the sensor was placed in three equally spaced positions in turn

and it was used to acquire an image in each position. Then

according to the three-point location judgment method

the positional relationship between the second image and accurate focus position was determined. By using the second image as the reference

the related calculation with logarithmic power spectrum of the image was carried out to get the value of accurate focus position. Finally

the sensor was placed to the calculated position

and the auto-focusing process was finished. Experimental results indicate that the standard deviations of the focus position value are 0.159 9 mm

and the maximum deviation is 0.4 mm or less. The method can meet the real-time auto-focusing requirement better. With the advantages of fast focusing and high accuracy

the auto-focusing process can be realized just by making use of three images.

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references

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