Food image analysis: Segmentation, identification and weight estimation
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...
| Main Authors: | He, Y., Xu, C., Khanna, N., Boushey, Carol, Delp, E. |
|---|---|
| Format: | Conference Paper |
| Published: |
2013
|
| Online Access: | http://hdl.handle.net/20.500.11937/50154 |
Similar Items
Snakes assisted food image segmentation
by: He, Y., et al.
Published: (2012)
by: He, Y., et al.
Published: (2012)
Image-based food volume estimation
by: Xu, C., et al.
Published: (2013)
by: Xu, C., et al.
Published: (2013)
Context based food image analysis
by: He, Y., et al.
Published: (2013)
by: He, Y., et al.
Published: (2013)
Analysis of food images: Features and classification
by: He, Y., et al.
Published: (2014)
by: He, Y., et al.
Published: (2014)
Image segmentation for image-based dietary assessment: A comparative study
by: He, Y., et al.
Published: (2013)
by: He, Y., et al.
Published: (2013)
Model-based food volume estimation using 3D pose
by: Xu, C., et al.
Published: (2013)
by: Xu, C., et al.
Published: (2013)
Efficient superpixel based segmentation for food image analysis
by: Wang, Y., et al.
Published: (2016)
by: Wang, Y., et al.
Published: (2016)
CTADA: The design of a crowdsourcing tool for online food image identification and segmentation
by: Fang, S., et al.
Published: (2018)
by: Fang, S., et al.
Published: (2018)
Weakly supervised food image segmentation using class activation maps
by: Wang, Y., et al.
Published: (2018)
by: Wang, Y., et al.
Published: (2018)
Multiple hypotheses image segmentation and classification with application to dietary assessment
by: Zhu, F., et al.
Published: (2015)
by: Zhu, F., et al.
Published: (2015)
Specular highlight removal for image-based dietary assessment
by: He, Y., et al.
Published: (2012)
by: He, Y., et al.
Published: (2012)
Segmentation assisted food classification for dietary assessment
by: Zhu, F., et al.
Published: (2011)
by: Zhu, F., et al.
Published: (2011)
The use of temporal information in food image analysis
by: Wang, Y., et al.
Published: (2015)
by: Wang, Y., et al.
Published: (2015)
The use of co-occurrence patterns in single image based food portion estimation
by: Fang, S., et al.
Published: (2018)
by: Fang, S., et al.
Published: (2018)
Image enhancement and quality measures for dietary assessment using mobile devices
by: Xu, C., et al.
Published: (2012)
by: Xu, C., et al.
Published: (2012)
A comparison of food portion size estimation using geometric models and depth images
by: Fang, S., et al.
Published: (2016)
by: Fang, S., et al.
Published: (2016)
Comparison of Known Foods Weights with Image-Based Portion-Size Automated Estimation and Adolescents' Self-Reported Portion Size
by: Lee, C., et al.
Published: (2012)
by: Lee, C., et al.
Published: (2012)
Single-View Food Portion Estimation Based on Geometric Models
by: Fang, S., et al.
Published: (2016)
by: Fang, S., et al.
Published: (2016)
Context based image analysis with application in dietary assessment and evaluation
by: Wang, Y., et al.
Published: (2017)
by: Wang, Y., et al.
Published: (2017)
Food image analysis: The big data problem you can eat!
by: Wang, Y., et al.
Published: (2017)
by: Wang, Y., et al.
Published: (2017)
Modified dynamic time warping (MDTW) for estimating temporal dietary patterns
by: Khanna, N., et al.
Published: (2018)
by: Khanna, N., et al.
Published: (2018)
Volume estimation using food specific shape templates in mobile image-based dietary assessment
by: Chae, J., et al.
Published: (2011)
by: Chae, J., et al.
Published: (2011)
Mobile image based color correction using deblurring
by: Wang, Y., et al.
Published: (2015)
by: Wang, Y., et al.
Published: (2015)
A mobile phone user interface for image-based dietary assessment
by: Ahmad, Ziad, et al.
Published: (2014)
by: Ahmad, Ziad, et al.
Published: (2014)
Integrated database system for mobile dietary assessment and analysis
by: Bosch, M., et al.
Published: (2011)
by: Bosch, M., et al.
Published: (2011)
Single-View Food Portion Estimation: Learning Image-to-Energy Mappings Using Generative Adversarial Networks
by: Fang, S., et al.
Published: (2018)
by: Fang, S., et al.
Published: (2018)
Adolescents in the United States can identify familiar foods at the time of consumption and when prompted with an image 14 h postprandial, but poorly estimate portions
by: Schap, T., et al.
Published: (2011)
by: Schap, T., et al.
Published: (2011)
Temporal Dietary Patterns Derived among the Adult Participants of the National Health and Nutrition Examination Survey 1999-2004 Are Associated with Diet Quality
by: Eicher-Miller, H., et al.
Published: (2016)
by: Eicher-Miller, H., et al.
Published: (2016)
A mobile food record for integrated dietary assessment
by: Ahmad, Ziad, et al.
Published: (2016)
by: Ahmad, Ziad, et al.
Published: (2016)
A method to determine the density of foods using X-ray imaging
by: Kelkar, S., et al.
Published: (2015)
by: Kelkar, S., et al.
Published: (2015)
Association between cognitive restraint, uncontrolled eating, emotional eating and BMI and the amount of food wasted in early adolescent girls
by: Banna, J., et al.
Published: (2018)
by: Banna, J., et al.
Published: (2018)
Perception v. actual intakes of junk food and sugar-sweetened beverages in Australian young adults: assessed using the mobile food record
by: Harray, A., et al.
Published: (2017)
by: Harray, A., et al.
Published: (2017)
Enhanced Se-Resnet 101 For Food Image Segmentation
by: Abuowaida, Suhaila Farhan Ahmad
Published: (2022)
by: Abuowaida, Suhaila Farhan Ahmad
Published: (2022)
Segmentation analysis for brain stroke diagnosis based on susceptibility-weighted imaging (SWI) using machine learning
by: Kandaya, Shaarmila, et al.
Published: (2024)
by: Kandaya, Shaarmila, et al.
Published: (2024)
Characterizing early adolescent plate waste using the mobile food record
by: Panizza, C., et al.
Published: (2017)
by: Panizza, C., et al.
Published: (2017)
Segmentation of brain MR images with directional weighted optimized fuzzy C-means clustering
by: Arshad, Javed, et al.
Published: (2013)
by: Arshad, Javed, et al.
Published: (2013)
Brain segmentation of T1-weighted MRI brain images / Zalikha Farhanah Zainal Abidin
by: Zainal Abidin, Zalikha Farhanah
Published: (2015)
by: Zainal Abidin, Zalikha Farhanah
Published: (2015)
New mobile methods for dietary assessment: review of image-assisted and image-based dietary assessment methods
by: Boushey, C., et al.
Published: (2017)
by: Boushey, C., et al.
Published: (2017)
A New Texture Feature for Improved Food Recognition Accuracy in a Mobile Phone Based Dietary Assessment System
by: Hafizur, Rahman, et al.
Published: (2012)
by: Hafizur, Rahman, et al.
Published: (2012)
An overview of the Technology Assisted Dietary Assessment project at Purdue University
by: Khanna, N., et al.
Published: (2010)
by: Khanna, N., et al.
Published: (2010)
Similar Items
-
Snakes assisted food image segmentation
by: He, Y., et al.
Published: (2012) -
Image-based food volume estimation
by: Xu, C., et al.
Published: (2013) -
Context based food image analysis
by: He, Y., et al.
Published: (2013) -
Analysis of food images: Features and classification
by: He, Y., et al.
Published: (2014) -
Image segmentation for image-based dietary assessment: A comparative study
by: He, Y., et al.
Published: (2013)