Extremal region detection and selection with fuzzy encoding for food recognition

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Extremal region detection and selection with fuzzy encoding for food recognition

This study proposes the improvement of feature representation by using Maximally Stable Extremal Region (MSER) detector in Bag of Features (BoF) model which incorporates an interest points detection and selection, and fuzzy encoding for food recognition. Three algorithms were used to accomplish t...

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Bibliographic Details
Main Author:	Razali @ Ghazali, Mohd Norhisham
Format:	Thesis
Language:	English
Published:	2019
Subjects:	Computer algorithms
Online Access:	http://psasir.upm.edu.my/id/eprint/84594/ http://psasir.upm.edu.my/id/eprint/84594/1/FSKTM%202019%2048%20ir.pdf

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