Dish extraction method with neural network for food intake measuring system on medical use

Abstract

We have been engaging development of a food intake measuring system. This system measures amounts of food intake for each dish on the tray. Therefore, this system needs to extract dish image from a tray image. In this paper, we propose a dish extraction method by neural network (NN). We expect that the proposed method can extract dish image efficiently and exactly even if dishes are over-wrapped each other. While, food sometimes causes miss-recognition of the correct position of the extracted dish image, we newly add food rejection algorithm to the dish extraction method. Finally, we show the effectiveness and usability of the improved proposed method with computer simulation using real data.