Food image classification using sphere shaped — Support vector machine

Abstract

Nowadays peoples have shown their keen interest on reducing their weight by calculating the calorie values of their food intake. Calorie and Nutrition measurement are used to monitor the body fat. In this dietary management system the calorie values are calculated by means of segmentation, features extraction and classification. Then the calorie value is computed with the aid of food area volume and nutrition measure based on the mass value. By calculating the calorie value of every food item, the dietary assessment gives the efficient way for person's food intake. FCM algorithm is used here for segmentation and Sphere Shaped SVM classifier is used to classify the segmented food items. This method automatically identifies the food items and then calculates their calorie value. The proposed method shows 95% of accuracy value which attains better classification.