Snakes assisted food image segmentation

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...

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Bibliographic Details
Published in2012 IEEE 14th International Workshop on Multimedia Signal Processing pp. 181 - 185
Main Authors He, Y., Khanna, N., Boushey, C.J., Delp, E.J.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.09.2012
Subjects
Active contours
Conferences
Educational institutions
Equations
Image color analysis
Image segmentation
Mobile communication
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ISBN9781467345705
1467345709
DOI10.1109/MMSP.2012.6343437

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Summary: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.
ISBN:9781467345705
1467345709
DOI:10.1109/MMSP.2012.6343437