Industrial Vision Based on Polarization Imaging and Its Key Technologies

Haibo Luo; Junfeng Cao; Xingqin Gai; Qinghai Ding

doi:10.3788/LOP202259.1415003

Laser & Optoelectronics Progress, Volume. 59, Issue 14, 1415003(2022)

Industrial Vision Based on Polarization Imaging and Its Key Technologies

Haibo Luo^1,2,3、*, Junfeng Cao^1,2,3,4, Xingqin Gai⁵, and Qinghai Ding⁶

¹Key Laboratory of Opto-Electronic Information Processing, Chinese Academy of Sciences, Shenyang 110016, Liaoning , China

²Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, Liaoning , China

³Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang 110169, Liaoning , China

⁴University of Chinese Academy of Sciences, Beijing 100049, China

⁵Hebei Hanguang Heavy Industry Co., Ltd., Handan 056107, Hebei , China

⁶Space Star Technology Co., Ltd., Beijing 100086, China

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Figures & Tables(10)

Fig. 1. Schematic of division-of-focal-plane IMX250MZR polarimeter^[9]

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Fig. 2. Traditional imaging and polarization imaging for glass. (a) Traditional imaging; (b) polarization imaging

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Fig. 3. Imaging of iron, aluminum, copper, silt, rubber, and cotton materials^[14]

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Fig. 4. Schematic of CMOS sensor function division^[18]

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Fig. 5. Measurement process of polarization 3D imaging

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Fig. 6. System layout of polarization imaging-based phase measurement^[33]

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Fig. 7. Flowchart of phase measurement

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Fig. 8. System layout of snapshot multi-wavelength microscope^[34]

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Fig. 9. System layout with RGB laser and red LED as source^[34]

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Table 1. Technical characteristics of typical polarization imaging methods^[1]

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Table 1. Technical characteristics of typical polarization imaging methods^[1]

Method

Design feature

Fabrication-integration

Issues，Cost

Misregistration issue

Rotating element

• Robust

• Relatively small

• Not suitable for dynamic scenes

• Easiest to implement

• Inexpensive

• Scene and platform motion

• Beam wander not a problem or removed in software

• Misregistration is linear

Division of amplitude（multiple FPAs）

• Simultaneous acquisition

• Large system size

• High mechanical flexibility and rigidity required

• Expensive

• Large

• Must register multiple FPAs

• Misregistration can be fixed

• Can be nonlinear

Division of aperture

（single FPA）

• Simultaneous acquisition

• Smaller size

• Loss of spatial resolution

• Expensive

• Fixed misregistration

• Can be nonlinear

Division of focal plane

• Simultaneous acquisition

• Small and rugged

• Loss of spatial resolution

• Fabrication difficult

• Alignment difficult

• Very expensive

• IFOVs misregistered

• Requires interpolation

• Fixed registration

Coboresight

• Simultaneous acquisition

• Best used at long ranges

• Easy integration

• Expensive

• Misregistration not as stable

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Haibo Luo, Junfeng Cao, Xingqin Gai, Qinghai Ding. Industrial Vision Based on Polarization Imaging and Its Key Technologies[J]. Laser & Optoelectronics Progress, 2022, 59(14): 1415003

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Paper Information

Category: Machine Vision

Received: Mar. 30, 2022

Accepted: May. 5, 2022

Published Online: Jul. 1, 2022

The Author Email: Haibo Luo (luohb@sia.cn)

DOI:10.3788/LOP202259.1415003

Topics

laser devices and laser physics

Lasers and Laser Optics

Laser physics

laser manufacturing

Instrumentation, Measurement and Metrology

Table 1. Technical characteristics of typical polarization imaging methods[1]

Table 1. Technical characteristics of typical polarization imaging methods[1]

Table 1. Technical characteristics of typical polarization imaging methods^[1]

Table 1. Technical characteristics of typical polarization imaging methods^[1]