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

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.

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