Literature DB >> 30696182

A stepwise method for estimating optical properties of two-layer turbid media from spatial-frequency domain reflectance.

Dong Hu, Renfu Lu, Yibin Ying, Xiaping Fu.   

Abstract

This research was conducted to estimate the optical absorption and reduced scattering coefficients of two-layer turbid media using a stepwise method from the spatial-frequency domain reflectance generated by Monte Carlo (MC) simulation. The stepwise method's feasibility for optical property estimations was first investigated by comparing the reflectance generated by the diffusion model and MC simulation for one-layer and two-layer turbid media. The results showed that, with proper frequency selection, the one-layer model could be used for estimating the optical properties of the first layer of the two-layer turbid media. A sample-based calibration method was proposed for calibrating discrepancies of the reflectance between the diffusion model and MC simulation. This significantly improved the parameter estimation accuracy. Results showed that the stepwise method's parameter estimation efficacy and accuracy were much better than that for the one-step method. This was especially true when estimating the absorption coefficient. Absolute error contour maps were generated in order to determine the constraining conditions for the first-layer thickness. It was found that, when each layer's optical properties are within the range of 0.005 mm-1 ≤ μa ≤ 0.04 mm-1 and 0.69 mm-1 ≤ μs'≤ 2.2 mm-1, the first-layer's minimum thickness-for which the first layer's optical properties could be accurately estimated-could be as small as 0.2 mm. Further, the first layer's maximum thickness could not exceed 2.0 mm, in order to have acceptable estimations of the optical properties of the second layer.

Year:  2019        PMID: 30696182     DOI: 10.1364/OE.27.001124

Source DB:  PubMed          Journal:  Opt Express        ISSN: 1094-4087            Impact factor:   3.894


  1 in total

1.  Optical Property Mapping of Apples and the Relationship With Quality Properties.

Authors:  Hehuan Peng; Chang Zhang; Zhizhong Sun; Tong Sun; Dong Hu; Zidong Yang; Jinshuang Wang
Journal:  Front Plant Sci       Date:  2022-04-25       Impact factor: 6.627

  1 in total

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