Dishes extraction with neural network for food intake measuring system

K. Fujiwara, F. Takeda, H. Uchida, S. Lalita
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引用次数: 4

Abstract

We describe a food intake measuring system. This system measures the amount of food intake of each dish. which is put on the tray. Therefore, this system needs to extract dish image from the tray. In this paper, we propose a neural network algorithm (NN) for the dish extraction process. We expect the proposed method can extract the dish image accurately, even if the dish is over lapped partially with other dishes. We develop the mechanism of dish extraction by the NN and simulate it by using real data to show its effectiveness in practical use.
基于神经网络的菜肴提取进食量测量系统
我们描述了一种食物摄入测量系统。这个系统测量每道菜的食物摄入量。放在托盘上。因此,本系统需要从托盘中提取盘子图像。在本文中,我们提出了一种神经网络算法(NN)的菜提取过程。我们期望所提出的方法能够准确地提取出碟子图像,即使碟子与其他碟子部分重叠。我们提出了用神经网络提取盘子的机理,并用实际数据对其进行了仿真,以证明其在实际应用中的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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