Unverified paper record
Analysis of Light Penetration Depth in Apple Tissues by Depth-Resolved Spatial-Frequency Domain Imaging.
Foods (Basel, Switzerland) · 25 Apr 2023 · 10.3390/foods12091783
Abstract
Spatial-frequency domain imaging (SFDI) has been developed as an emerging modality for detecting early-stage bruises of fruits, such as apples, due to its unique advantage of a depth-resolved imaging feature. This paper presents theoretical and experimental analyses to determine the light penetration depth in apple tissues under spatially modulated illumination. Simulation and practical experiments were then carried out to explore the maximum light penetration depths in 'Golden Delicious' apples. Then, apple experiments for early-stage bruise detection using the estimated reduced scattering coefficient mapping were conducted to validate the results of light penetration depths. The results showed that the simulations produced comparable or a little larger light penetration depth in apple tissues (~2.2 mm) than the practical experiment (~1.8 mm or ~2.3 mm). Apple peel further decreased the light penetration depth due to the high absorption properties of pigment contents. Apple bruises located beneath the surface peel with the depth of about 0-1.2 mm could be effectively detected by the SFDI technique. This study, to our knowledge, made the first effort to investigate the light penetration depth in apple tissues by SFDI, which would provide useful information for enhanced detection of early-stage apple bruising by selecting the appropriate spatial frequency.
Plant phenotyping relevance
SFDIによるリンゴ組織の光侵達深度を解析・検証し、青果表面下の打撲を検出する画像計測法を技術的に評価しているため、植物状態の取得法が中心である。
abstractThis paper presents theoretical and experimental analyses to determine the light penetration depth in apple tissues under spatially modulated illumination.
abstractApple bruises located beneath the surface peel with the depth of about 0-1.2 mm could be effectively detected by the SFDI technique.
Code and data availability
The paper's SFDI apple imaging data (images, optical property mappings, MC simulation code) are not publicly deposited; the Data Availability Statement says data will be shared only on reasonable request to the corresponding author. No public URLs or repositories are provided.
No evidence-backed public reproduction asset is currently recorded.
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