Numerical Study of Light Transport in Apple Models Based on Monte Carlo Simulations
ASKOURA, Mohamed
Ecole supérieure d'Agricultures d'Angers [ESA]
Laboratoire Angevin de Mécanique, Procédés et InnovAtion [LAMPA]
Ecole supérieure d'Agricultures d'Angers [ESA]
Laboratoire Angevin de Mécanique, Procédés et InnovAtion [LAMPA]
ASKOURA, Mohamed
Ecole supérieure d'Agricultures d'Angers [ESA]
Laboratoire Angevin de Mécanique, Procédés et InnovAtion [LAMPA]
< Réduire
Ecole supérieure d'Agricultures d'Angers [ESA]
Laboratoire Angevin de Mécanique, Procédés et InnovAtion [LAMPA]
Langue
en
Article de revue
Ce document a été publié dans
Photonics. 2015-12-26, vol. 3, n° 1, p. 2
MDPI
Résumé
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 ...Lire la suite >
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.< Réduire
Mots clés
apple models
light transport
skin
flesh
computed backscattering images
assessment of optical properties
Origine
Importé de halUnités de recherche