Comparative study of mango classification methods based on image data

被引：0

作者：

Shiroma Y. ^{[1
]}

Afuso H. ^{[1
]}

Saito H. ^{[1
]}

Nagayama I. ^{[1
]}

Tamaki S. ^{[1
]}

机构：

[1] Fuculty of Engineering, University of the Ryukyus, 1, Senbaru, Nishihara, Okinawa

来源：

IEEJ Transactions on Industry Applications | 2021年 / 141卷 / 02期

关键词：

Grade discrimination; Image processing; Mango production system;

D O I：

10.1541/ieejias.141.168

中图分类号：

学科分类号：

摘要：

The grade of a mango is determined by its color. Traditionally, the classification of mangoes is manually performed by humans. Such classification is subjective and then the quality of mango's is not uniform. In order to overcome the problem，automatic classification method to classify mango based on RGB histogram of their images and certain threshold. However, this process might be influenced by variations in the luminance. In this study, we implemented alternatives of the traditional method and compared them with sampled images. © 2021 The Institute of Electrical Engineers of Japan.

引用

页码：168 / 172

页数：4

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