食品图像分析：分割、识别与重量估计。
FOOD IMAGE ANALYSIS: SEGMENTATION, IDENTIFICATION AND WEIGHT ESTIMATION.
作者信息
He Ye, Xu Chang, Khanna Nitin, Boushey Carol J, Delp Edward J
机构信息
School of Electrical and Computer Engineering, Purdue University.
Department of Electronics and Communication Engineering, Graphic Era University.
出版信息
Proc (IEEE Int Conf Multimed Expo). 2013 Jul;2013. doi: 10.1109/ICME.2013.6607548. Epub 2013 Sep 26.
We are developing a dietary assessment system that records daily food intake through the use of food images taken at a meal. The food images are then analyzed to extract the nutrient content in the food. In this paper, we describe the image analysis tools to determine the regions where a particular food is located (image segmentation), identify the food type (feature classification) and estimate the weight of the food item (weight estimation). An image segmentation and classification system is proposed to improve the food segmentation and identification accuracy. We then estimate the weight of food to extract the nutrient content from a single image using a shape template for foods with regular shapes and area-based weight estimation for foods with irregular shapes.
我们正在开发一种饮食评估系统，该系统通过使用用餐时拍摄的食物图像来记录每日食物摄入量。然后对食物图像进行分析，以提取食物中的营养成分。在本文中，我们描述了用于确定特定食物所在区域（图像分割）、识别食物类型（特征分类）以及估计食物重量（重量估计）的图像分析工具。提出了一种图像分割和分类系统，以提高食物分割和识别的准确性。然后，我们使用规则形状食物的形状模板和不规则形状食物的基于面积的重量估计方法，从单个图像中估计食物重量，以提取营养成分。
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