A comparative study of convolutional neural network and k - nearest neighbours algorithms for food image recognition

Arnita and Yani, Muhammad and Marpaung, Faridawaty and Hidayat, Muhammadh and Widianto, Ari (2022) A comparative study of convolutional neural network and k - nearest neighbours algorithms for food image recognition. The journal “Computational Technologies”, 27 (6). pp. 88-99. ISSN 1560-7534; eISSN 2313-691X

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Abstract

Food plays a vital role in everyday life, and public awareness of food quality has increased. The availability of many types of food has made it difficult for people to choose the right type of healthy food for consumption. The Convolutional Neural Network (CNN) and

Item Type: Article
Keywords: food image recognition; convolutional neural network; k -nearest neigh-bours; HSV color space
Subjects: L Education > LB Theory and practice of education
L Education > LB Theory and practice of education > LB1603 Secondary Education. High schools
Q Science > QA Mathematics
Q Science > QA Mathematics > QA299 Analysis
Divisions: Fakultas Matematika dan Ilmu Pengetahuan Alam > Matematika
Depositing User: Mrs Catur Dedek Khadijah
Date Deposited: 06 Mar 2023 04:47
Last Modified: 13 Mar 2023 03:46
URI: https://digilib.unimed.ac.id/id/eprint/50999

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