Low Complexity Image Quality Measures for Dietary Assessment Using Mobile Devices.
Low Complexity Image Quality Measures for Dietary Assessment Using Mobile Devices.
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DOI：
10.1109/ism.2011.64
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发表时间：
2011-12
期刊：
影响因子：
--
通讯作者：
Delp EJ
中科院分区：
文献类型：
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作者：
Xu C;Khanna N;Boushey CJ;Delp EJ
许多慢性疾病，如心脏病、糖尿病和肥胖，都可能与饮食有关。因此，精确测量饮食变得势在必行。我们正在开发图像分析工具，用于识别和定量一顿饭所消耗的食物。我们的系统依赖于来自用户的单个膳食图像来进行食物识别和数量估计。因此，通过提供关于图像质量的即时反馈来帮助用户获得高质量的图像是非常重要的。本文提出了部署在手持移动设备上的低复杂度图像质量度量方法。
Many chronic diseases, such as heart disease, diabetes, and obesity, can be related to diet. Hence, the need to accurately measure diet becomes imperative. We are developing image analysis tools for the identification and quantification of foods consumed at a meal. Our system relies on a single meal image from the user for doing food identification and quantity estimation. Therefore, it is very important to assist the user in acquiring a good quality image by providing immediate feedback about the image quality. This paper presents low complexity image quality measures which are deployed on handheld mobile devices.