Application of depth from defocusing based on logarithmic power spectrum to multi-spectral imager

ZHANG Yan-chao; SUN Qiang; ZHAO Jian

doi:10.3788/OPE.20132103.0767

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Application of depth from defocusing based on logarithmic power spectrum to multi-spectral imager

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- Application of depth from defocusing based on logarithmic power spectrum to multi-spectral imager
- Optics and Precision Engineering Vol. 21, Issue 3, Pages: 767-773(2013)
- 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：
- DOI：10.3788/OPE.20132103.0767
  CLC： TP73;TP391.41
- Received：26 April 2012，
  
  Revised：04 June 2012，
  
  Published Online：20 March 2013，
  
  Published：15 March 2013
- 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

秦来贵，霍玉晶，何淑芳.基于数字极性相关算法的激光脉冲测距[J]. 中国激光，2006,33(7)：941-944.QIN L G, HUO Y J, HE S F. Study on pulsed laser range finder based on digital polarity correlation algorithm [J]. Chinese Journal of Lasers, 2006, 33(7): 941-944. (in Chinese)[2]刘一鹏，裴锡宇，冯华君, 等.一种基于DFD的自动对焦算法[J]. 光学仪器，2005,27(4):39-44. LIU Y P, PEI X Y, FENG H J, et al.. Autofocus algorithm based on depth from defocus [J]. Optical Instruments, 2005, 27(4): 39-44. (in Chinese)[3]符冉迪，易文娟，郁梅，等.基于Hadamard变换的数码显微成像自动对焦新方法[J]. 光电子激光，2008,19(12):1690-1693.FU R D, YI W J, YU M, et al.. Anovel auto-focusing method based on hadamard transformation[J]. Journal of Optpelectronics Laser, 2008, 19(12): 1690-1693. (in Chinese)[4]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 Z Y, CHEN T. Auto-focusing adjustment of theodolites by largest the gradient method [J]. Opt. Precision Eng., 2009, 17(12): 3016-3021. (in Chinese)[5]吴小翠，郭斯羽，易国.基于便捷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)[6]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)[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 Z S. 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 Z L, et al.. Fast autofocus method for microscopic computer vision [J]. Opt. Precision Eng., 2010, 18(6): 1361-1366. (in Chinese)[11]杨晓洁，杨宇红，王慈.多聚焦离散图像复原算法[J]. 计算机工程，2011,37(18)：211-213.YANG X J, YANG Y H, WANG C. Multi-focus defocus image restoration algorithm [J]. Computer Engineering, 2011, 37(18): 211-213. (in Chinese)[12]何斌，马天予，王运坚, 等.Visual C++数字图像处理[M]. 2版.北京：人民邮电出版社，2002.HE B, MA T Y, WANG Y J, et al.. Visual C++ Digital Image Processing[M]. 2nd ed. Beijing: Posts & Telecommunications Press, 2002. (in Chinese)[13]张振久，胡泓，李天利.透镜检测中复合自动对焦技术的研究及应用[J]. 光学学报，2011,31(2):03120051-03120057.ZHANG Z J, HU H, LI T L. Application and research of composite autofocusing technique in optical-lens measurement[J]. Acta Optica Sinica，2011, 31(2): 03120051-03120057. (in Chinese)[14]谢小甫，周进，吴钦章.基于无参考结构清晰度的自适应自动对焦方法[J]. 光电工程，2011,38(2): 84-89.XIE X F, ZHOU J, WU Q Z. An adaptive autofocus method using no-reference structural sharpness[J]. Opto-Electronic Engineering, 2011, 38(2): 84-89. (in Chinese)

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