COMBINING GLOBAL AND LOCAL FEATURES FOR FOOD IDENTIFICATION IN DIETARY ASSESSMENT.
COMBINING GLOBAL AND LOCAL FEATURES FOR FOOD IDENTIFICATION IN DIETARY ASSESSMENT.
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DOI：
10.1109/icip.2011.6115809
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发表时间：
2011-09
期刊：
影响因子：
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通讯作者：
Delp EJ
中科院分区：
文献类型：
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作者：
Bosch M;Zhu F;Khanna N;Boushey CJ;Delp EJ
许多慢性疾病，如心脏病、糖尿病和肥胖，都与饮食有关。因此，需要准确地测量饮食变得势在必行。我们正在开发使用图像分析工具来识别和量化用餐时消耗的食物的方法。在本文中，我们描述了一种新的方法来食品识别使用几个功能的基础上，本地和全球的措施和“投票”的基础上晚决策融合分类器，以确定食品项目。各种各样的食品的实验结果。
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.