FOOD IMAGE ANALYSIS: SEGMENTATION, IDENTIFICATION AND WEIGHT ESTIMATION

被引：0

作者：

He, Ye ^{[1
]}

Xu, Chang ^{[1
]}

Khanna, Nitin ^{[2
]}

Boushey, Carol J. ^{[3
]}

Delp, Edward J. ^{[1
]}

机构：

[1] Purdue Univ, Sch Elect & Comp Engn, W Lafayette, IN 47907 USA

[2] Graphic Era Univ, Dept Elect Commun Engn, Dehra Dun, India

[3] Univ Hawaii Cancer Ctr, Cancer Epidemiol Program, Honolulu, HI USA

来源：

2013 IEEE INTERNATIONAL CONFERENCE ON MULTIMEDIA AND EXPO (ICME 2013) | 2013年

基金：

美国国家卫生研究院;

关键词：

Dietary Assessment; Image Segmentation; Object Identification; Weight Estimation;

D O I：

暂无

中图分类号：

TP31 [计算机软件];

学科分类号：

081202 ; 0835 ;

摘要：

We are developing a dietary assessment system that records daily food intake through the use of food images taken at a meal. The food images are then analyzed to extract the nutrient content in the food. In this paper, we describe the image analysis tools to determine the regions where a particular food is located (image segmentation), identify the food type (feature classification) and estimate the weight of the food item (weight estimation). An image segmentation and classification system is proposed to improve the food segmentation and identification accuracy. We then estimate the weight of food to extract the nutrient content from a single image using a shape template for foods with regular shapes and area-based weight estimation for foods with irregular shapes.

引用

页数：6

共 14 条

[1] [Anonymous], P INT C IM PROC BRUS
[2] [Anonymous], 2001, Robotica, DOI DOI 10.1017/S0263574700223217
[3] Use of technology in children's dietary assessment
Boushey, C. J.
Kerr, D. A.
Wright, J.
Lutes, K. D.
Ebert, D. S.
Delp, E. J.
[J]. EUROPEAN JOURNAL OF CLINICAL NUTRITION, 2009, 63 : S50 - S57
[4] Volume Estimation Using Food Specific Shape Templates in Mobile Image-Based Dietary Assessment
Chae, Junghoon
Woo, Insoo
Kim, SungYe
Maciejewski, Ross
Zhu, Fengging
Delp, Edward J.
Boushey, Carol J.
Ebert, David S.
[J]. COMPUTATIONAL IMAGING IX, 2011, 7873
[5] Benchmarking Image Segmentation Algorithms
Estrada, Francisco J.
Jepson, Allan D.
[J]. INTERNATIONAL JOURNAL OF COMPUTER VISION, 2009, 85 (02) : 167 - 181
[6] Image segmentation using local variation
Felzenszwalb, PF
Huttenlocher, DP
[J]. 1998 IEEE COMPUTER SOCIETY CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION, PROCEEDINGS, 1998, : 98 - 104
[7] Specular Highlight Removal For Image-Based Dietary Assessment
He, Y.
Khanna, N.
Boushey, C. J.
Delp, E. J.
[J]. 2012 IEEE INTERNATIONAL CONFERENCE ON MULTIMEDIA AND EXPO WORKSHOPS (ICMEW), 2012, : 424 - 428
[8] Jia WY, 2012, IEEE ENG MED BIO, P4545, DOI 10.1109/EMBC.2012.6346978
[9] Junqing Shang, 2011, 2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops), P100, DOI 10.1109/ICCVW.2011.6130229
[10] Developing novel 3D measurement techniques and prediction method for food density determination
Kelkar, Shivangi
Stella, Scott
Boushey, Carol
Okos, Martin
[J]. 11TH INTERNATIONAL CONGRESS ON ENGINEERING AND FOOD (ICEF11), 2011, 1 : 483 - 491

← 1 2 →