Pregled bibliografske jedinice broj: 1007845
AN IMAGE PROCESSING APPROACH FOR COLOR-BASED SORTING AND COUNTING OF SELECTED CEREALS
AN IMAGE PROCESSING APPROACH FOR COLOR-BASED SORTING AND COUNTING OF SELECTED CEREALS // 10th International congress Flour-Bread´19 ; 12th Croatian congress of cereal technologists Brašno-Kruh´19 / Strelec, Ivica ; Pichler, Michaela ; Lelieveld, Huub ; Budžaki, Sandra (ur.).
Osijek: Josip Juraj Strossmayer University of Osijek ; Croatian Journal of Food Science and Technology, 2019. str. 37-37 (poster, međunarodna recenzija, sažetak, znanstveni)
CROSBI ID: 1007845 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
AN IMAGE PROCESSING APPROACH FOR COLOR-BASED SORTING AND COUNTING OF SELECTED CEREALS
Autori
Šafranko, Silvija ; Cikoš, Ana-Marija ; Banožić, Marija ; Stanković, Anamarija ; Jokić, Stela
Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, sažetak, znanstveni
Izvornik
10th International congress Flour-Bread´19 ; 12th Croatian congress of cereal technologists Brašno-Kruh´19
/ Strelec, Ivica ; Pichler, Michaela ; Lelieveld, Huub ; Budžaki, Sandra - Osijek : Josip Juraj Strossmayer University of Osijek ; Croatian Journal of Food Science and Technology, 2019, 37-37
Skup
10th International Congress Flour – Bread ’19 ; 12th Croatian Congress of Cereal Technologists Brašno – Kruh ’19
Mjesto i datum
Osijek, Hrvatska, 11.06.2019. - 14.06.2019
Vrsta sudjelovanja
Poster
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
cereals ; image processing ; color, sorting ; counting
Sažetak
Physical characteristics of cereals, such as grain size, bulk density, length, shape or color, are of a great importance in terms of product control and quality. Grain counting and sorting is considered as an essential step in product quality assessment, classification and cultivation management in general. However, that procedure is usually carried out manually which can be time-consuming and inconvenient, or by instruments which are rather expensive and bulky. An alternative and nondestructive method for cereal quality evaluation is based on image processing approach, widely used in food industry and agriculture. In this study, an image processing method has been developed and modified for cereal grain counting and sorting based on color segmentation algorithm which allows division of an image into specific regions. The total number of objects in the image can be detected or objects can be classified and counted based on different colors, in this case, using RGB to CIELab color space conversion. Developed method has been tested and evaluted on maize, wheat, buckwheat and rice by varying the number and type of cereal grains for each testing sample. The obtained results showed good efficiency and accuracy of developed image processing method which could be useful counting and sorting tool with a wide range of applications.
Izvorni jezik
Engleski
Znanstvena područja
Interdisciplinarne prirodne znanosti, Prehrambena tehnologija
POVEZANOST RADA
Ustanove:
Prehrambeno-tehnološki fakultet, Osijek,
Sveučilište u Osijeku - Odjel za kemiju
Profili:
Ana-Marija Cikoš
(autor)
Stela Jokić
(autor)
Anamarija Stanković
(autor)
Marija Banožić
(autor)
Silvija Šafranko
(autor)