Snakes assisted food image segmentation
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In this paper we describe an image segmentation method for segmenting food items in images used for dietary assessment. Dietary assessment methods used to determine the foods and beverages consumed at a meal are essential for understanding the link between diet and health. Snakes, or active contours, are used extensively to locate object boundaries and segment images. Experimental results using classical snakes on food images show the problems associated with contour initialization and poor detection performance for food images. In this paper, we explore various methods of contour initialization and integrate a background removal method to improve the performance of food image segmentation. We describe the details of the proposed food image segmentation method and also evaluate our segmentation approach on food images.
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Zhu, F.; Bosch, M.; Schap, T.; Khanna, N.; Ebert, D.; Boushey, Carol; Delp, E. (2011)Accurate methods and tools to assess food and nutrient intake are essential for the association between diet and health. Preliminary studies have indicated that the use of a mobile device with a built-in camera to obtain ...
Chae, J.; Woo, I.; Kim, S.; Maciejewski, R.; Zhu, F.; Delp, E.; Boushey, Carol; Ebert, D. (2011)As obesity concerns mount, dietary assessment methods for prevention and intervention are being developed. These methods include recording, cataloging and analyzing daily dietary records to monitor energy and nutrient ...
Zhu, F.; Bosch, M.; Khanna, N.; Boushey, Carol; Delp, E. (2015)We propose a method for dietary assessment to automatically identify and locate food in a variety of images captured during controlled and natural eating events. Two concepts are combined to achieve this: a set of segmented ...