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.

Highlights

  • Most natural matter is composite, heterogeneous, made up of different materials, present in several phases, and with properties and characteristics different from their bulk equivalents

  • The propagation of light in biological tissues [3,4] has always attracted a lot of attention due to the infinite implications that it can entail

  • The polarization of light is often used as a probe [4,5,6,7,8,9,10,11,12,13,14,15,16,17,18]: by using electromagnetic fields oscillating parallel or orthogonally to the dipoles of the material, it is possible to obtain an anisotropic diffusion according to the microscopic alignment of the material

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Summary

Introduction

Most natural matter is composite, heterogeneous, made up of different materials, present in several phases, and with properties and characteristics different from their bulk equivalents. Technology has taken an example from nature, engineering materials through the creation of composites in order to create new ones with properties not found in nature. You can think about materials with glass or carbon fibres incorporated in resins or sheathed by adhesive plastic films, in order to create bulks or tissues that are both light and extremely resistant at the same time. Microscopy directly observes the individual fibres (even the etymology suggests a “vision at the micron scale”) and, through appropriate image processing, characterizes the order of structuring of the samples studied. Through the analysis of microscopic images taken using polarized light, it is possible to characterize the morphology of different materials [11,16,17]

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