Zhu Fengqing, Bosch Marc, Boushey Carol J, Delp Edward J
School of Electrical and Computer Engineering, Purdue University, West Lafayette, Indiana USA.
Proc Int Conf Image Proc. 2010:1853-1856. doi: 10.1109/ICIP.2010.5650848.
There is a growing concern about chronic diseases and other health problems related to diet including obesity and cancer. Dietary intake provides valuable insights for mounting intervention programs for prevention of chronic diseases. Measuring accurate dietary intake is considered to be an open research problem in the nutrition and health fields. In this paper, we describe a novel mobile telephone food record that provides a measure of daily food and nutrient intake. Our approach includes the use of image analysis tools for identification and quantification of food that is consumed at a meal. Images obtained before and after foods are eaten are used to estimate the amount and type of food consumed. The mobile device provides a unique vehicle for collecting dietary information that reduces the burden on respondents that are obtained using more classical approaches for dietary assessment. We describe our approach to image analysis that includes the segmentation of food items, features used to identify foods, a method for automatic portion estimation, and our overall system architecture for collecting the food intake information.
人们越来越关注与饮食相关的慢性病和其他健康问题，包括肥胖症和癌症。饮食摄入量为开展慢性病预防干预项目提供了有价值的见解。准确测量饮食摄入量被认为是营养与健康领域一个有待解决的研究问题。在本文中，我们描述了一种新型移动电话食物记录方法，该方法可用于测量每日食物和营养摄入量。我们的方法包括使用图像分析工具来识别和量化每餐所摄入的食物。通过拍摄进食前后的食物图像来估算所摄入食物的数量和种类。移动设备为收集饮食信息提供了一种独特的方式，减轻了使用传统饮食评估方法时受访者的负担。我们描述了图像分析方法，包括食物项目的分割、用于识别食物的特征、自动分量估计方法以及收集食物摄入信息的整体系统架构。
