In this paper, we develop a simple technique to identify material texture from far, by using polarization-resolved imaging. Such a technique can be easily implemented into industrial environments, where fast and cheap sensors are required. The technique has been applied to both isotropic references (Teflon bar) and anisotropic samples (wood). By studying the radiance of the samples illuminated by linearly polarized light, different and specific behaviours are identified for both isotropic and anisotropic samples, in terms of multipolar emission and linear dichroism, from which fibre orientation can be resolved.
Recognition of bio-structural anisotropy by polarization resolved imaging / Fazio, Eugenio; Batool, Sidra; Nisar, Mehwish; Alonzo, Massimo; Frezza, Fabrizio. - In: ELECTRONICS. - ISSN 2079-9292. - 11:(2022), pp. 1-11. [10.3390/electronics11020255]
Recognition of bio-structural anisotropy by polarization resolved imaging
Fazio Eugenio
Conceptualization
;Batool SidraData Curation
;Nisar MehwishData Curation
;Alonzo MassimoSoftware
;Frezza FabrizioMembro del Collaboration Group
2022
Abstract
In this paper, we develop a simple technique to identify material texture from far, by using polarization-resolved imaging. Such a technique can be easily implemented into industrial environments, where fast and cheap sensors are required. The technique has been applied to both isotropic references (Teflon bar) and anisotropic samples (wood). By studying the radiance of the samples illuminated by linearly polarized light, different and specific behaviours are identified for both isotropic and anisotropic samples, in terms of multipolar emission and linear dichroism, from which fibre orientation can be resolved.File | Dimensione | Formato | |
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