A simple digital imaging method for the analysis of the color of food surfaces
2015
Аутори
Marković, IvanaIlić, Jelena
Marković, Dragan
Simonović, Vojislav
Dejanović, Sanja
Golubović, Snežana
Остала ауторства
Sedmak, AleksandarRadaković, Zoran
Sedmak, Simon
Kirin, Snežana
Конференцијски прилог (Објављена верзија)
,
FME
Метаподаци
Приказ свих података о документуАпстракт
Compared to manual inspection, which is inconsistent and subjective, sorters are able to assure product quality and food safety by more effectively identifying and removing defects and foreign material, while at the same time reducing labor costs and improving operating efficiencies. In this paper we analyzed color of the green beans in the way to find certain parameter which defined good color, acceptable for consumers because homogeneity and appearance have a significant impact on the consumer's decision and to see does and how different lighting effect on the color. The color recorded in the image is not an inherent value of observed object, because it is also influenced by the illumination properties (illuminance, spectral intensity distribution, color rendering index), as well as geometry and surfaces of neighboring objects. The CIE La*b* color space gave good results in a way that it define better the ranges of parameter a*.
Кључне речи:
color / green beans / color space / sorterИзвор:
Proceedings of TEAM 2015 7th International Scientific and Expert Conference of the International TEAM Society 14–16th October 2015, Belgrade, Serbia, 2015, 292-295Издавач:
- Faculty of Mechanical Engineering, University of Belgrade
Финансирање / пројекти:
- Истраживање и развој опреме и система за индустријску производњу, складиштење и прераду поврћа и воћа (RS-MESTD-Technological Development (TD or TR)-35043)
Институција/група
Mašinski fakultetTY - CONF AU - Marković, Ivana AU - Ilić, Jelena AU - Marković, Dragan AU - Simonović, Vojislav AU - Dejanović, Sanja AU - Golubović, Snežana PY - 2015 UR - https://machinery.mas.bg.ac.rs/handle/123456789/4651 AB - Compared to manual inspection, which is inconsistent and subjective, sorters are able to assure product quality and food safety by more effectively identifying and removing defects and foreign material, while at the same time reducing labor costs and improving operating efficiencies. In this paper we analyzed color of the green beans in the way to find certain parameter which defined good color, acceptable for consumers because homogeneity and appearance have a significant impact on the consumer's decision and to see does and how different lighting effect on the color. The color recorded in the image is not an inherent value of observed object, because it is also influenced by the illumination properties (illuminance, spectral intensity distribution, color rendering index), as well as geometry and surfaces of neighboring objects. The CIE La*b* color space gave good results in a way that it define better the ranges of parameter a*. PB - Faculty of Mechanical Engineering, University of Belgrade C3 - Proceedings of TEAM 2015 7th International Scientific and Expert Conference of the International TEAM Society 14–16th October 2015, Belgrade, Serbia T1 - A simple digital imaging method for the analysis of the color of food surfaces EP - 295 SP - 292 UR - https://hdl.handle.net/21.15107/rcub_machinery_4651 ER -
@conference{ author = "Marković, Ivana and Ilić, Jelena and Marković, Dragan and Simonović, Vojislav and Dejanović, Sanja and Golubović, Snežana", year = "2015", abstract = "Compared to manual inspection, which is inconsistent and subjective, sorters are able to assure product quality and food safety by more effectively identifying and removing defects and foreign material, while at the same time reducing labor costs and improving operating efficiencies. In this paper we analyzed color of the green beans in the way to find certain parameter which defined good color, acceptable for consumers because homogeneity and appearance have a significant impact on the consumer's decision and to see does and how different lighting effect on the color. The color recorded in the image is not an inherent value of observed object, because it is also influenced by the illumination properties (illuminance, spectral intensity distribution, color rendering index), as well as geometry and surfaces of neighboring objects. The CIE La*b* color space gave good results in a way that it define better the ranges of parameter a*.", publisher = "Faculty of Mechanical Engineering, University of Belgrade", journal = "Proceedings of TEAM 2015 7th International Scientific and Expert Conference of the International TEAM Society 14–16th October 2015, Belgrade, Serbia", title = "A simple digital imaging method for the analysis of the color of food surfaces", pages = "295-292", url = "https://hdl.handle.net/21.15107/rcub_machinery_4651" }
Marković, I., Ilić, J., Marković, D., Simonović, V., Dejanović, S.,& Golubović, S.. (2015). A simple digital imaging method for the analysis of the color of food surfaces. in Proceedings of TEAM 2015 7th International Scientific and Expert Conference of the International TEAM Society 14–16th October 2015, Belgrade, Serbia Faculty of Mechanical Engineering, University of Belgrade., 292-295. https://hdl.handle.net/21.15107/rcub_machinery_4651
Marković I, Ilić J, Marković D, Simonović V, Dejanović S, Golubović S. A simple digital imaging method for the analysis of the color of food surfaces. in Proceedings of TEAM 2015 7th International Scientific and Expert Conference of the International TEAM Society 14–16th October 2015, Belgrade, Serbia. 2015;:292-295. https://hdl.handle.net/21.15107/rcub_machinery_4651 .
Marković, Ivana, Ilić, Jelena, Marković, Dragan, Simonović, Vojislav, Dejanović, Sanja, Golubović, Snežana, "A simple digital imaging method for the analysis of the color of food surfaces" in Proceedings of TEAM 2015 7th International Scientific and Expert Conference of the International TEAM Society 14–16th October 2015, Belgrade, Serbia (2015):292-295, https://hdl.handle.net/21.15107/rcub_machinery_4651 .