Numerical Study of Light Transport in Apple Models Based on Monte Carlo Simulations
Autor: | Jean-Pierre L'Huillier, Mohamed Lamine Askoura, Fabrice Vaudelle |
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Přispěvatelé: | Institut National de la Recherche Agronomique (INRA), Ecole Nationale Supérieure d'Arts et Métiers (Arts et Métiers ParisTech) (ENSAM), Ecole supérieure d'Agricultures d'Angers (ESA), Laboratoire Angevin de Mécanique, Procédés et InnovAtion (LAMPA), Université de Bordeaux (UB)-Institut Polytechnique de Bordeaux-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Arts et Métiers Sciences et Technologies, HESAM Université (HESAM)-HESAM Université (HESAM) |
Jazyk: | angličtina |
Rok vydání: | 2015 |
Předmět: |
lcsh:Applied optics. Photonics
skin Materials science [SDV]Life Sciences [q-bio] Monte Carlo method Inverse SCATTERING PROPERTIES NONINVASIVE DETERMINATION Sciences de l'ingénieur Spherical model [SPI]Engineering Sciences [physics] Optics Fitting algorithm Range (statistics) RESOLVED REFLECTANCE SPECTROSCOPY Radiology Nuclear Medicine and imaging light transport Instrumentation assessment of optical properties PHOTON MIGRATION 2. Zero hunger TURBMEDIA DIFFUSE-REFLECTANCE apple models business.industry SOLUBLE SOLIDS CONTENT flesh computed backscattering images lcsh:TA1501-1820 INTERNAL OPTICAL-PROPERTIES TISSUE STRUCTURES Reflectivity flesh FINITE-ELEMENT APPROACH Atomic and Molecular Physics and Optics Monte carlo data Non-linear least squares business Biological system |
Zdroj: | Photonics 1 (3), 15 p.. (2016) Photonics Photonics, MDPI, 2016, 3 (1), 15 p. ⟨10.3390/photonics3010002⟩ Photonics, MDPI, 2015, 3 (1), pp.2 Photonics, Vol 3, Iss 1, p 2 (2015) Photonics; Volume 3; Issue 1; Pages: 2 |
ISSN: | 2304-6732 |
DOI: | 10.3390/photonics3010002⟩ |
Popis: | International audience; This paper reports on the quantification of light transport in apple models using Monte Carlo simulations. To this end, apple was modeled as a two-layer spherical model including skin and flesh bulk tissues. The optical properties of both tissue types used to generate Monte Carlo data were collected from the literature, and selected to cover a range of values related to three apple varieties. Two different imaging-tissue setups were simulated in order to show the role of the skin on steady-state backscattering images, spatially-resolved reflectance profiles, and assessment of flesh optical properties using an inverse nonlinear least squares fitting algorithm. Simulation results suggest that apple skin cannot be ignored when a Visible/Near-Infrared (Vis/NIR) steady-state imagingsetupisusedforinvestigatingqualityattributesofapples. Theyalsohelptoimproveoptical inspection techniques in the horticultural products. |
Databáze: | OpenAIRE |
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