NDLI: Automatic detection of dining plates for image-based dietary evaluation

Content Provider	IEEE Xplore Digital Library
Author	Jie Nie Zhiqiang Wei Wenyan Jia Lu Li Fernstrom, J.D. Sclabassi, R.J. Mingui Sun
Copyright Year	2010
Description	Author affiliation: Departments of Neurosurgery / Electrical Engineering / Bioengineering / Psychiatry, University of Pittsburgh, USA (Wenyan Jia; Lu Li; Fernstrom, J.D.; Sclabassi, R.J.; Mingui Sun) \|\| Department of Computer Science, Ocean University of China, Qingdao, China (Jie Nie; Zhiqiang Wei)
Abstract	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.
Starting Page	4312
Ending Page	4315
File Size	645401
Page Count	4
File Format	PDF
ISBN	9781424441235
ISSN	1557170X
DOI	10.1109/IEMBS.2010.5626204
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-08-31
Publisher Place	Argentina
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image edge detection Pixel Clutter Filtering Fitting Shape Transforms
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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