Material classification of Printed Circuit Board by Polarization Photography

Hsiu-Hao Tsai; Tsung-Lin Lu; Tzung-Han Lin

doi:10.1364/ISA.2022.ITu5E.4

Imaging and Applied Optics Congress 2022 (3D, AOA, COSI, ISA, pcAOP)
Technical Digest Series (Optica Publishing Group, 2022),
paper ITu5E.4
•https://doi.org/10.1364/ISA.2022.ITu5E.4

Material classification of Printed Circuit Board by Polarization Photography

Hsiu-Hao Tsai, Tsung-Lin Lu, and Tzung-Han Lin

Imaging Systems and Applications 2022

Vancouver, British Columbia Canada
11–15 July 2022
ISBN: 978-1-957171-09-8

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Deep Learning, Computational Optics, Image Processing and Classification I (ITu5E)

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H. Tsai, T. Lu, and T. Lin, "Material classification of Printed Circuit Board by Polarization Photography," in Imaging and Applied Optics Congress 2022 (3D, AOA, COSI, ISA, pcAOP), Technical Digest Series (Optica Publishing Group, 2022), paper ITu5E.4.

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Abstract

The paper proposes a practical solution based on four-phase polarization photography to classify the dielectric material parts and metallic component parts of printed circuit board (PCB). The experimental results show that polarization images can effectively classify the dielectric material parts and preserve the metallic parts.

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