sibvestСибирский вестник сельскохозяйственной наукиSiberian Herald of Agricultural Science0370-87992658-462XSiberian Federal Scientific Centre of Agro-BioTechnologies of the Russian Academy of Sciences10.26898/0370-8799-2018-5-12sibvest-516Research ArticleНАУЧНЫЕ СВЯЗИSCIENTIFIC RELATIONSКЛАССИФИКАЦИЯ КАЧЕСТВА ЦИТРУСОВЫХ НА ОСНОВЕ РАЗМЕРА С ИСПОЛЬЗОВАНИЕМ ОБРАБОТКИ ЦИФРОВЫХ ИЗОБРАЖЕНИЙCITRUS FRUIT QUALITY CLASSIFICATION BASED ON SIZE USING DIGITAL IMAGE PROCESSINGДорджУльзии-ОршихDorjUlzii-Orshikh

Центр современных информационных технологий и обработки изображений, Школа электроники и информатики, 

664-14, 1 Га, Деокджин-Донг, Джеонджу, Чонбук, 561-756, 

chaehs7288@gmail.com

Center for Advanced Image and Information Technology, School of Electronics & Information Engineering, 

664-14, IGa, DeokjinDong, Jeonju, Chon Buk, 561-756

ulziil58@chonbuk.ac.krДеиджибалУранбайгальDejidbalUranbaigal

Факультет математики, физики и информационных технологий, Школа инженерных наук и технологий,

Улан-Батор

Department of Mathematics, Physics and Information Technology, School of Engineering and Technology, 

Ulaanbaatar

uranbaigal@muls.edu.mnЧаеХунсеокChaeHongseok

Центр современных информационных технологий и обработки изображений, Школа электроники и информатики,

Деокджин-Донг

Center for Advanced Image and Information Technology, School of Electronics & Information Engineering,

Deokjin-Dong

БацамбууЛхагвадорджBatsambuuLkhagvadorj

Факультет пищевой промьгшленности и гидротехники, Школа инженерных наук и технологий,

Улан-Батор

Department of Food Processing and Hydraulic Engineering, School of Engineering and Technology, 

Ulaanbaatar

lkhagyadorj@muls.edu.mnБадарчАлтанхимегBadarchAltanchimeg

Факультет экономической статистики и математического моделирования, Школа экономики и бизнеса, Улан-Батор, 

shinebayar.d@muls.edu.mn

Department of Economic Statistics and Mathematical Modeling, School of Economics and Business, 

Ulaanbaatar

altanchimeg.b@muls.edu.mnДалхааШинебайарDalkhaaShinebayar

Факультет математики, физики и информационных технологий, Школа инженерных наук и технологий,

Улан-Батор, 

shinebayar.d@muls.edu.mn

Department of Mathematics, Physics and Information Technology, School of Engineering and Technology, 

Ulaanbaatar

altanchimeg.b@muls.edu.mnНациональный университет ЧонбукЮжная КореяChon Buk National UniversityKorea, Republic ofМонгольский университет наук о живой природеМонголияMongolian University of Life SciencesMongoliaМонгольский университет наук о живой природе Улан-Баатар, МонголияМонголияMongolian University of Life SciencesMongolia20180901201948595101Copyright © Дордж У., Деиджибал У., Чае Х., Бацамбуу Л., Бадарч А., Далхаа Ш., 20192019Дордж У., Деиджибал У., Чае Х., Бацамбуу Л., Бадарч А., Далхаа Ш.Dorj U., Dejidbal U., Chae H., Batsambuu L., Badarch A., Dalkhaa S.Данная работа распространяется под лицензией Creative Commons Attribution 4.0.This work is licensed under a Creative Commons Attribution 4.0 License.https://sibvest.elpub.ru/jour/article/view/516

Представлена разработка нового алгоритма шмпьютерной визуализации для классификации качества цитрусовых культур, основанного на размерах плодов одного дерева. Параметры изображения: площадь, периметр и диаметр цитрусовых- измерены в пикселях. Определены отношения значений диаметра, периметра и площади в пикселях к фактическому размеру плода для того, чтобы точно оценить размер плодов цитрусовых. Проведена группировка 1860 плодов цитрусовых на основе размера диаметра, периметра и площади в пикеелях. Результаты грутгировки сопоставлены с результатами обзорных исследований по размеру плодов цитрусовых, которые проводились Комиссией Чеджу Сравнительные результаты показывают, что диаметр изображений плодов в пикселях имеет более точный размер, чем значения в пикселях периметра и площади.

A new computer vision algorithm for citrus fruit quality classification based on the size of a single tree fruits was developed in this study. The image properties of area, perimeter, and diameter for the citrus fruits were measured by pixels. In order to estimate citrus fruit size in a realistic manner, the ratios of diameter, perimeter and area in pixel values in relation to the actual size of one fruit were determined. The total of 1860 citrus fruits were grouped based on diameter, perimeter, and area in pixels. The results of the grouping of citrus fruits by diameter, perimeter and area were compared with the results of the survey research into citrus fruit size as conducted by the Jeju Citrus Commission. Comparative results reveal that the image of the citrus fruit diameter in pixels demonstrate a more accurate size than the other two pixel values, i.e. perimeter and area.

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The authors declare that there are no conflicts of interest present.