輪郭特徴に着目したトマトの形状等級判定法

カテゴリ: 論文誌(論文単位)

グループ名: 【C】電子・情報・システム部門

発行日: 2020/10/01

タイトル(英語): A Study on Grade Judgement of Tomatoes Focused on Contour Features

著者名: 一色　正晴（愛媛大学大学院理工学研究科電子情報工学専攻），福本　真也（愛媛大学大学院理工学研究科電子情報工学専攻），坂本　勇太朗（愛媛大学工学部情報工学科），木下　浩二（愛媛大学大学院理工学研究科電子情報工学専攻），柳原　圭雄（愛媛大学大学院理工学研究科電子情報工学専攻）

著者名(英語): Masaharu Isshiki (Graduate School of Science and Engineering, Ehime University), Shinya Fukumoto (Graduate School of Science and Engineering, Ehime University), Yutaroh Sakamoto (Department of Computer Science, Faculity of Engineering, Ehime University), Koji Kinoshita (Graduate School of Science and Engineering, Ehime University), Yoshio Yanagihara (Graduate School of Science and Engineering, Ehime University)

キーワード: 機械学習，等級判定，トマト，特徴抽出　machine learning，grade judgement，tomatoes，feature extraction

要約(英語): The price of crops depends on the grade. The grade is determined from various factors such as color, shape, size, and scratches. It takes a lot of time and effort if farmers decide the grade. This study aims to automate shape grade judgement. In the prior method, binarization and contour extraction are performed on the tomato image to define features called flatness, variant, sharpness, and irregularity, and a threshold is set for each grade. However, due to the correlation between the features, the grade judgement has not been made with sufficient accuracy. In this study, we propose several methods focusing on contour features and compare these accuracies.

本誌: 電気学会論文誌C（電子・情報・システム部門誌） Vol.140 No.10 （2020）

本誌掲載ページ: 1134-1140 p

原稿種別: 論文／日本語

電子版へのリンク: https://www.jstage.jst.go.jp/article/ieejeiss/140/10/140_1134/_article/-char/ja/