Extremal Region Selection for MSER Detection in Food Recognition

The visual analysis of foods on social media by using food recognition algorithm provides valuable insight from the health, cultural and marketing. Food recognition offers a means to automatically recognise foods as well the useful information such as calories and nutritional estimation by using ima...

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Bibliographic Details

Main Authors:	Mohd Norhisham Razali @ Ghazali, Noridayu Manshor, Alfian Abdul Halin, Norwati Mustapha, Razali Yaakob
Format:	Article
Language:	en en
Published:	Akademi Sains Malaysia 2021
Subjects:	QA75.5-76.95 Electronic computers. Computer science
Online Access:	https://eprints.ums.edu.my/id/eprint/32660/1/Extremal%20Region%20Selection%20for%20MSER%20Detection%20in%20Food%20Recognition.pdf https://eprints.ums.edu.my/id/eprint/32660/3/Extremal%20Region%20Selection%20for%20MSER%20Detection%20in%20Food%20Recognition%20_ABSTRACT.pdf https://eprints.ums.edu.my/id/eprint/32660/ https://www.akademisains.gov.my/asmsj/article/extremal-region-selection-for-mser-detection-in-food-recognition/ https://doi.org/10.32802/asmscj.2020.485
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