Cargando…
Extracting Tissue Optical Properties and Detecting Bruised Tissue in Pears Quickly and Accurately Based on Spatial Frequency Domain Imaging and Machine Learning
Recently, Spatial Frequency Domain Imaging (SFDI) has gradually become an alternative method to extract tissue optical properties (OPs), as it provides a wide-field, no-contact acquisition. SFDI extracts OPs by least-square fitting (LSF) based on the diffuse approximation equation, but there are sho...
Autores principales: | Xing, Shengqiang, Zhang, Jiaming, Luo, Yifeng, Yang, Yang, Fu, Xiaping |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9858491/ https://www.ncbi.nlm.nih.gov/pubmed/36673330 http://dx.doi.org/10.3390/foods12020238 |
Ejemplares similares
-
Spatial Frequency Domain Imaging System Calibration, Correction and Application for Pear Surface Damage Detection
por: Luo, Yifeng, et al.
Publicado: (2021) -
Machine learning approach for rapid and accurate estimation of optical properties using spatial frequency domain imaging
por: Panigrahi, Swapnesh, et al.
Publicado: (2018) -
Prediction of bruise volume propagation of pear during the storage using soft computing methods
por: Razavi, Mahsa Sadat, et al.
Publicado: (2019) -
The use of CT scan imaging technique to determine pear bruise level due to external loads
por: Azadbakht, Mohsen, et al.
Publicado: (2018) -
Bruising
por: Mehmood, Z., et al.
Publicado: (2022)