Low complexity image quality measures for dietary assessment using mobile devices
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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.
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