Share Email Print
cover

Proceedings Paper

Segmentation assisted food classification for dietary assessment
Author(s): Fengqing Zhu; Marc Bosch; TusaRebecca Schap; Nitin Khanna; David S. Ebert; Carol J. Boushey; Edward J. Delp
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

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 images of the food consumed may provide a less burdensome and more accurate method for dietary assessment. We are developing methods to identify food items using a single image acquired from the mobile device. Our goal is to automatically determine the regions in an image where a particular food is located (segmentation) and correctly identify the food type based on its features (classification or food labeling). Images of foods are segmented using Normalized Cuts based on intensity and color. Color and texture features are extracted from each segmented food region. Classification decisions for each segmented region are made using support vector machine methods. The segmentation of each food region is refined based on feedback from the output of classifier to provide more accurate estimation of the quantity of food consumed.

Paper Details

Date Published: 8 February 2011
PDF: 8 pages
Proc. SPIE 7873, Computational Imaging IX, 78730B (8 February 2011); doi: 10.1117/12.877036
Show Author Affiliations
Fengqing Zhu, Purdue Univ. (United States)
Marc Bosch, Purdue Univ. (United States)
TusaRebecca Schap, Purdue Univ. (United States)
Nitin Khanna, Purdue Univ. (United States)
David S. Ebert, Purdue Univ. (United States)
Carol J. Boushey, Purdue Univ. (United States)
Edward J. Delp, Purdue Univ. (United States)


Published in SPIE Proceedings Vol. 7873:
Computational Imaging IX
Charles A. Bouman; Ilya Pollak; Patrick J. Wolfe, Editor(s)

© SPIE. Terms of Use
Back to Top