Название: Method for automated assessment of the effectiveness of fruit safety enhancement using an acousto-optical imaging spectrometer
Авторы и аффилиации:
Аннотация: Subject of study. This study focuses on the acquisition, processing, and interpretation methods and algorithms for spectral images aimed at evaluating surface defects in fruits. Aim of study. The aim of this study is to develop a method for assessing fruit preservation techniques based on the automatic detection and quantitative evaluation of surface defects using imaging spectroscopy. Method. Spectral images were acquired using an acousto-optical imaging spectrometer with a spectral range of 450–850 nm and a bandwidth of 2.5 nm at a wavelength of 650 nm, with a 5 nm step. For processing the spectral images, well-established operations and algorithms for data enhancement and analysis were employed. These included correction for uneven illumination, correction for spatial and spectral inhomogeneity of the optical system’s transmittance coefficient, various image filtering techniques, and threshold binarization...
Тип: Журнал
Название журнала: JOURNAL OF OPTICAL TECHNOLOGY
Том: 91
Страницы: 452
DOI: 10.1364/jot.91.000452
ISSN: 1070-9762
Ссылка на страницу в eLIBRARY: https://www.elibrary.ru/item.asp?id=80163750
eLIBRARY ID: 80163750
Код EDN: HMZRRA
Рекомендуемая библиографическая ссылка: Method for automated assessment of the effectiveness of fruit safety enhancement using an acousto-optical imaging spectrometer // JOURNAL OF OPTICAL TECHNOLOGY. 2024. Vol. 91. P. 452. EDN: HMZRRA. DOI: 10.1364/jot.91.000452.