Application of image quality evaluation and mutual information in laser image registration

FAN You-chen; ZHAO Hong-li; SUN Hua-yan; GUO Hui-chao; ZHAO Yan-zhong; GAO Yu-xuan

doi:10.3788/OPE.20152313.0661

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Application of image quality evaluation and mutual information in laser image registration

更新时间：2020-08-13

- Application of image quality evaluation and mutual information in laser image registration
- Optics and Precision Engineering Vol. 23, Issue 10z, Pages: 660-667(2015)
- 作者机构：
  
  中国人民解放军装备学院北京,101416
- 作者简介：
- 基金信息：
- DOI：10.3788/OPE.20152313.0661
  CLC： TP391
- Received：05 June 2015，
  
  Revised：21 June 2015，
  
  Published：14 November 2015
- 稿件说明：
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范有臣, 赵洪利, 孙华燕等. 像质评价结合互信息在激光图像配准中的应用[J]. 光学精密工程, 2015,23(10z): 660-667

FAN You-chen, ZHAO Hong-li, SUN Hua-yan etc. Application of image quality evaluation and mutual information in laser image registration[J]. Editorial Office of Optics and Precision Engineering, 2015,23(10z): 660-667
范有臣, 赵洪利, 孙华燕等. 像质评价结合互信息在激光图像配准中的应用[J]. 光学精密工程, 2015,23(10z): 660-667 DOI： 10.3788/OPE.20152313.0661.

FAN You-chen, ZHAO Hong-li, SUN Hua-yan etc. Application of image quality evaluation and mutual information in laser image registration[J]. Editorial Office of Optics and Precision Engineering, 2015,23(10z): 660-667 DOI： 10.3788/OPE.20152313.0661.

摘要

为了获得运动目标的激光三维图像

建立了距离选通条件下的激光主动成像系统

提出了一种基于像质评价的激光图像互信息配准算法。介绍了基于距离选通的ICCD成像原理和成像系统。针对互信息算法

详细描述了配准的整个算法流程。最后针对运动目标距离选通成像过程中如何选择切片图像作为基准图像的问题

提出在配准之前引入像质评价标准

实现了基于像质评价的激光图像互信息配准算法。实验结果表明

在距离选通激光切片图像中

亮度、信噪比、平均梯度和边缘强度具有明显的区分度

可以此为标准选择出切片图像中质量较好的图像;基于像质评价的基准图像的选取能够有效减少错误配准

整个配准算法精度达到0.01 pixel。该算法兼顾了鲁棒性和精度

稳健性强

特别适合用于运动目标激光图像的配准。

Abstract

To obtain the three-dimensional laser images of moving targets

this paper establishes a range-gated laser active imaging system

and puts forward a laser image registration algorithm based on image quality evaluation and mutual information. The principle of ICCD imaging and imaging systems based on range gated were introduce. On the basis of the mutual information

the entire process of registration algorithm was described in detail. For how to choose the slice images as a reference image in moving target range gated imaging

the standard of quality evaluation was introduced before the registration

and the laser image registration algorithm based on image quality evaluation and mutual information was implemented. Experimental results indicate that brightness

Signal to Noise Ratio(SNR)

average gradient and edge strength have obvious distinction

which can be as standards to select a better image in laser range-gated slice image. The reference image selection based on the image quality evaluation can effectively reduce the error registration

and the entire registration algorithm accuracy reaches to 0.01 pixel. The algorithm offers high precision and strong robustness

and is especially suitable for the laser image registration of moving targets.

关键词

Keywords

references

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