An artificial neural network model for accurate and efficient optical property mapping from spatial-frequency domain images-Reference-Cited by-同舟云学术

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An artificial neural network model for accurate and efficient optical property mapping from spatial-frequency domain images

Published:2021-09 Issue: Volume:188 Page:106340
ISSN:0168-1699
Container-title:Computers and Electronics in Agriculture
language:en
Short-container-title:Computers and Electronics in Agriculture

Author:

Sun Zhizhong,Xie Lijuan,Hu Dong,Ying Yibin

Funder

National Natural Science Foundation of China

Natural Science Foundation of Zhejiang Province

U.S. Department of Agriculture

Agricultural Research Service

Publisher

Elsevier BV

Subject

Horticulture,Computer Science Applications,Agronomy and Crop Science,Forestry

Reference43 articles.

1. Spatial frequency domain imaging using an analytical model for separation of surface and volume scattering;Nothelfer;J. Biomed. Opt.,2019

2. Burn wound classification model using spatial frequency-domain imaging and machine learning;Rowland;J. Biomed. Opt.,2019

3. Assessing firmness and SSC of pears based on absorption and scattering properties using an automatic integrating sphere system from 400 to 1150 nm;He;Postharvest. Biol. Tec.,2016

4. Corrigendum: optical properties of biological tissues: a review;Jacques;Phys. Med. Biol.,2013

5. Assessment of the optical properties of peaches with fungal infection using spatially-resolved diffuse reflectance technique and their relationships with tissue structural and biochemical properties;Sun;Food. Chem.,2020

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