Characterisation of honey using high-frequency ohmic heating based on image segmentation

In the field of computer vision, image segmentation using a clustering approach was employed. This non-destructive method was applied to process ohmic heating in honey, aiming to achieve an efficient and time-saving mass production process. The K-means clustering algorithm converted RGB color data t...

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Bibliographic Details

Published in:	Advances in Food Science, Sustainable Agriculture, and Agroindustrial Engineering
Main Authors:	Elvianto Dwi Hartono, Anang Lastriyanto, Elok Zubaidah, Yusuf Hendrawan
Format:	Article
Language:	English
Published:	Universitas Brawijaya, Fakultas Teknologi Pertanian 2024-09-01
Subjects:	heat penetration k-means clustering ohmic heating segmentation
Online Access:	https://afssaae.ub.ac.id/index.php/afssaae/article/view/18896/264