Combining global and local features for food identification in dietary assessment
MetadataShow full item record
Many chronic diseases, such as heart diseases, diabetes, and obesity, can be related to diet. Hence, the need to accurately measure diet becomes imperative. We are developing methods to use image analysis tools for the identification and quantification of food consumed at a meal. In this paper we describe a new approach to food identification using several features based on local and global measures and a "voting" based late decision fusion classifier to identify the food items. Experimental results on a wide variety of food items are presented.
Showing items related by title, author, creator and subject.
Scully, M.; Wakefield, M.; Niven, P.; Chapman, K.; Crawford, D.; Pratt, Steve; Baur, L.; Flood, V.; Morley, B. (2012)The present study examined associations between food marketing exposure and adolescents’ food choices and reported consumption of energy-dense and nutrient-poor (EDNP) foods. A cross-sectional survey of 12,188 Australian ...
Eating Out is Associated with Self-Reported Food Poisoning: a Western Australia Population Perspective, 1998 to 2009Pollard, Christina; Meng, Xingqiong; Williamson, S.; Dodds, J.; Binns, Colin (2013)OBJECTIVE: To explore factors associated with self-reported food poisoning among Western Australian adults between 1998 and 2009.DESIGN: Data were pooled from four Nutrition Monitoring Surveys Series which included ...
Eating out is associated with self-reported food poisoning: A Western Australia population perspective, 1998 to 2009Pollard, C.; Meng, X.; Williamson, S.; Dodds, J.; Binns, Colin (2013)Objective: To explore factors associated with self-reported food poisoning among Western Australian adults between 1998 and 2009. Design: Data were pooled from four Nutrition Monitoring Surveys Series which included ...