文献类型：期刊文献

英文题名：Visible Light Image-Based Method for Sugar Content Classification of Citrus

作者：Wang, Xuefeng[1] Wu, Chunyan[1] Hirafuji, Masayuki[2]

第一作者：王雪峰

通信作者：Hirafuji, M[1]

机构：[1]Chinese Acad Forestry, Res Inst Forest Resource Informat Tech, Beijing 100091, Peoples R China;[2]Hokkaido Agr Res Ctr, Memuro, Hokkaido 0820071, Japan

年份：2016

卷号：11

期号：1

外文期刊名：PLOS ONE

收录：;Scopus(收录号：2-s2.0-84958212522);WOS:【SCI-EXPANDED(收录号:WOS:000369528000034)】；

基金：This project was supported by Japan Society for the promotion of Science (JSPS07-09) and National Science and Technology Major Projects of China (21-Y30B05-9001-13/15). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

语种：英文

摘要：Visible light imaging of citrus fruit from Mie Prefecture of Japan was performed to determine whether an algorithm could be developed to predict the sugar content. This nondestructive classification showed that the accurate segmentation of different images can be realized by a correlation analysis based on the threshold value of the coefficient of determination. There is an obvious correlation between the sugar content of citrus fruit and certain parameters of the color images. The selected image parameters were connected by addition algorithm. The sugar content of citrus fruit can be predicted by the dummy variable method. The results showed that the small but orange citrus fruits often have a high sugar content. The study shows that it is possible to predict the sugar content of citrus fruit and to perform a classification of the sugar content using light in the visible spectrum and without the need for an additional light source.