Automatic detection of dining plates for image-based dietary evaluation.
Automatic detection of dining plates for image-based dietary evaluation.
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DOI：
10.1109/iembs.2010.5626204
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发表时间：
2010
期刊：
影响因子：
--
通讯作者：
Sun M
中科院分区：
文献类型：
--
作者：
Nie J;Wei Z;Jia W;Li L;Fernstrom JD;Sclabassi RJ;Sun M
据报道，一种自动检测器可以在长期记录的图像或视频中发现圆形餐盘，用于食物摄入和肥胖的研究。我们首先从输入图像中检测边缘。在将边转换为曲线的多个处理步骤之后，应用弧过滤和分组算法。然后，凸包被识别，并确定那些适合对应于餐盘的椭圆的描述。我们使用真实世界的图像进行的实验表明，即使输入图像包含复杂的背景场景和餐盘被严重遮挡，该检测器也具有高度的可靠性和鲁棒性。
An automatic detector that finds circular dining plates in chronically recorded images or videos is reported for the study of food intake and obesity. We first detect edges from input images. After a number of processing steps that convert edges into curves, arc filtering and grouping algorithms are applied. Then, convex hulls are identified and the ones that fit the description of ellipses corresponding to dining plates are determined. Our experiments using real-world images indicate that this detector is highly reliable and robust even when the input images contain complex background scenes and the dining plates are severely occluded.