Transmittance Multispectral Imaging for Edible Oil Quality Assessment

Autor: T. Madujith, H.M.H.K. Weerasooriya, G. M. R. I. Godaliyadda, M. P. B. Ekanayake, H. M. V. R. Herath, D.Y.L. Ranasinghe, H.M.S. Lakmal, Wele Gedara Chaminda Bandara
Rok vydání: 2020
Předmět:
Zdroj: Imaging and Applied Optics Congress.
DOI: 10.1364/3d.2020.jw5c.8
Popis: An algorithm is proposed to estimate the adulteration level of coconut oil, with palm oil as the adulterant, which utilizes transmittance-based multispectral images of oil samples obtained utilizing an in-house developed multispectral imaging system.
Databáze: OpenAIRE