Xu Chang, Khanna Nitin, Boushey Carol J, Delp Edward J
School of Electrical and Computer Engineering Purdue University, West Lafayette, Indiana, USA.
Epidemiology Program, University of Hawaii Cancer Center, Honolulu, HI, USA.
ISM. 2011 Dec;2011:351-356. doi: 10.1109/ISM.2011.64. Epub 2012 Jan 9.
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.
许多慢性疾病，如心脏病、糖尿病和肥胖症，都可能与饮食有关。因此，准确测量饮食的需求变得至关重要。我们正在开发图像分析工具，用于识别和量化一餐中所摄入的食物。我们的系统依靠用户提供的单张用餐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取高质量图像非常重要。本文介绍了部署在手持移动设备上的低复杂度图像质量度量方法。
