Automatic grading of apples based on multi-features and weighted K-means clustering algorithm

Automatic grading of apples based on multi-features and weighted K-means clustering algorithm

In this paper, a fast and effective method based on multiple image features and a weighted K-means clustering algorithm is proposed to achieve the automatic grading of apples. The method provides a novel way of using four images (top, bottom and two sides) and average gray values for each apple to d...

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Bibliographic Details
Main Authors:	Yang Yu, Sergio A. Velastin, Fei Yin
Format:	Article
Language:	English
Published:	KeAi Communications Co., Ltd. 2020-12-01
Series:	Information Processing in Agriculture
Subjects:	Apple grading Multi-features Threshold segmentation K-means
Online Access:	http://www.sciencedirect.com/science/article/pii/S2214317319300794

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