Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/27141
Title: Printed Circuit Board Inspection: Fusion of Optical and X-ray Images (FOXi) for Electronic Components Classification
Authors: Starodubov, D
Danishvar, S
Ott, R
Abu Ebayyeh, AARM
Cummings, N
Mousavi, A
Keywords: bill of materials (BoM);image fusion;classification;convolutional neural network (CNN);PCB boards;components
Issue Date: 25-Oct-2022
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Citation: Starodubov, D. et al. (2022) 'Printed Circuit Board Inspection: Fusion of Optical and X-ray Images (FOXi) for Electronic Components Classification', 2022 IEEE Physical Assurance and Inspection of Electronics, PAINE 2022, Huntsville, AL, USA, 25-27 October, pp. 1 - 7. doi: 10.1109/PAINE56030.2022.10014840.
URI: https://bura.brunel.ac.uk/handle/2438/27141
DOI: https://doi.org/10.1109/PAINE56030.2022.10014840
ISBN: 979-8-3503-9909-7 (ebk)
ISSN: 979-8-3503-9910-3 (PoD)
Other Identifiers: ORCID iDs: Sebelan Danishvar https://orcid.org/0000-0002-8258-0437; Alireza Mousavi https://orcid.org/0000-0003-0360-2712.
Appears in Collections:Dept of Computer Science Research Papers
Dept of Mechanical and Aerospace Engineering Research Papers

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