Image segmentation and classification with applicationto dietary assessment using BMI-calorie calculator

• Autorzy: Minija S. Jasmine , Emmanuel W.R. Sam

Identyfikatory

DOI

10.24423/cames.239

• Języki publikacji: EN

Abstrakty

EN

Nowadays, people are more interested in their health by maintaining a proper diet. Today’s lifestylecauses obesity and malnutrition in humans because of an uncontrolled diet. This paper proposes thehealth monitoring system using the body mass index (BMI) calorie calculator, which guides people totake proper calories from their daily diet. The image processing steps segmentation, features extraction,and recognition are used in the dietary assessment to identify the food items. The improved performanceof the multi-hypotheses image segmentation (MHS) and feed-forward neural network (FFNN) classifier fornutritional assessment was evaluated using macro average accuracy (MAA) and standard accuracy (SA)metrics, which provide an enhanced classification rate.

Słowa kluczowe

EN

segmentation; feature extraction; classification; calorie estimation

PL

segmentacja; ekstrakcja cech; klasyfikacja; szacowanie kalorii

• Wydawca: Instytut Podstawowych Problemów Techniki PAN
• Czasopismo: Computer Assisted Methods in Engineering and Science
• Rocznik: 2019
• Tom: vol. 26, no. 3-4
• Strony: 177--189
• Opis fizyczny: Bibliogr. 14 poz., rys., tab., wykr.

Twórcy

autor

Minija S. Jasmine

autor

Emmanuel W.R. Sam

Bibliografia

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Uwagi

Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2020).