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Conference Paper: Material analysis with polarization holography and machine learning

TitleMaterial analysis with polarization holography and machine learning
Authors
Zhu, YanminLi, YuxingHuang, JianqingZhang, YunpingLam, Edmund Y.
Issue Date2023
Citation
3D Image Acquisition and Display: Technology, Perception and Applications in Proceedings Optica Imaging Congress, 3D, COSI, DH, FLatOptics, IS, pcAOP 2023, 2023 How to Cite?
DOI: http://dx.doi.org/10.1364/3D.2023.JW2A.3
AbstractWe design a polarization holographic system to record the sample holographic images with rich polarization states, amplitude, and phase information. Material analysis and characterization are realized with machine learning. We demonstrate the system feasibility on specific microplastic material identification.
Persistent Identifierhttp://hdl.handle.net/10722/350064

 

DC FieldValueLanguage
dc.contributor.authorZhu, Yanmin-
dc.contributor.authorLi, Yuxing-
dc.contributor.authorHuang, Jianqing-
dc.contributor.authorZhang, Yunping-
dc.contributor.authorLam, Edmund Y.-
dc.date.accessioned2024-10-17T07:02:50Z-
dc.date.available2024-10-17T07:02:50Z-
dc.date.issued2023-
dc.identifier.citation3D Image Acquisition and Display: Technology, Perception and Applications in Proceedings Optica Imaging Congress, 3D, COSI, DH, FLatOptics, IS, pcAOP 2023, 2023-
dc.identifier.urihttp://hdl.handle.net/10722/350064-
dc.description.abstractWe design a polarization holographic system to record the sample holographic images with rich polarization states, amplitude, and phase information. Material analysis and characterization are realized with machine learning. We demonstrate the system feasibility on specific microplastic material identification.-
dc.languageeng-
dc.relation.ispartof3D Image Acquisition and Display: Technology, Perception and Applications in Proceedings Optica Imaging Congress, 3D, COSI, DH, FLatOptics, IS, pcAOP 2023-
dc.titleMaterial analysis with polarization holography and machine learning-
dc.typeConference_Paper-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1364/3D.2023.JW2A.3-
dc.identifier.scopuseid_2-s2.0-85190998727-

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