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基于数字微镜成像系统的像素级映射方法

Pixel-Level Mapping Method Based on Digital Micromirror Imaging System

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摘要

为实现基于数字微镜器件(DMD)高动态范围成像系统中的DMD微镜与CCD像素间的高精度映射, 提出了三种不同的像素级映射算法。介绍了基于DMD的高动态范围成像系统, 分析了其映射原理以及映射的必要性, 采用直接线性变换算法、非线性多项式畸变拟合算法和反向传播神经网络算法进行映射, 并将其理论方法与成像系统相结合。通过图片测试, 得到相应的参数并计算其误差, 其中误差最小的是多项式畸变拟合映射算法, 其均方根误差为1.02 pixel, 即认为该算法可达到像素级映射的目标。该算法拟合了部分畸变误差, 满足成像系统像素级映射的需求。

Abstract

In order to achieve the high precision mapping between digital micromirror device (DMD) micromirrors and CCD pixels in high dynamic range imaging system based on DMD, three different pixel-level mapping algorithms are put forward. The high dynamic range imaging system based on DMD is introduced, and the mapping principle and necessity are analyzed. The proposed algorithms are used to map, including the direct linear transformation algorithm, nonlinear distortion polynomial fitting algorithm and back propagation neural network algorithm. And the theoretical methods are combined with the imaging system. The corresponding parameters are obtained and the error data are calculated by image testing. The error of fitting polynomial distortion mapping algorithm is minimum, and the root mean square error is 1.02 pixel, which can reach the pixel-level error. This algorithm fits the partial distortion error mapping at pixel-level and meets the needs of the imaging system.

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中图分类号:O439

DOI:10.3788/aos201737.1211001

所属栏目:成像系统

基金项目:国家自然科学基金(51775379, 51675497)、北京市自然科学基金(3162034)、质检总局科研项目(ANL1617)

收稿日期:2017-06-21

修改稿日期:2017-07-24

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王惟婧:天津大学精密测试技术及仪器国家重点实验室, 天津 300072
张福民:天津大学精密测试技术及仪器国家重点实验室, 天津 300072
冯维:天津大学精密测试技术及仪器国家重点实验室, 天津 300072
曲兴华:天津大学精密测试技术及仪器国家重点实验室, 天津 300072

联系人作者:张福民(zhangfumin@tju.edu.cn)

备注:王惟婧(1993-), 女, 硕士研究生, 主要从事光学成像方面的研究。E-mail: wwj_c1@163.com

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引用该论文

Wang Weijing,Zhang Fumin,Feng Wei,Qu Xinghua. Pixel-Level Mapping Method Based on Digital Micromirror Imaging System[J]. Acta Optica Sinica, 2017, 37(12): 1211001

王惟婧,张福民,冯维,曲兴华. 基于数字微镜成像系统的像素级映射方法[J]. 光学学报, 2017, 37(12): 1211001

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