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An image analysis system for dietary assessment and evaluation

机译:用于饮食评估和评估的图像分析系统

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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 nutritions 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.
机译:人们越来越关注与饮食有关的慢性疾病和其他健康问题,包括肥胖和癌症。饮食摄入量为制定预防慢性病的干预计划提供了宝贵的见识。在营养和健康领域,测量准确的饮食摄入量被认为是一个开放的研究问题。在本文中,我们描述了一种新颖的移动电话食物记录,该记录提供了每日食物和营养摄入量的度量。我们的方法包括使用图像分析工具来识别和定量餐时食用的食物。在食用食物之前和之后获得的图像用于估计所食用食物的数量和类型。该移动设备提供了一种独特的工具来收集饮食信息,从而减轻了使用更经典的饮食评估方法获得的被调查者的负担。我们描述了我们的图像分析方法,包括食品的细分,用于识别食品的功能,自动份量估计的方法以及用于收集食物摄入信息的整个系统架构。

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