A review on vision-based analysis for automatic dietary assessment
Background: Maintaining a healthy diet is vital to avoid health-related issues, eg,
undernutrition, obesity and many non-communicable diseases. An indispensable part of the …
undernutrition, obesity and many non-communicable diseases. An indispensable part of the …
[PDF][PDF] A Comprehensive Review of Image Segmentation Techniques.
SK Abdulateef, MD Salman - Iraqi Journal for Electrical & Electronic …, 2021 - iasj.net
Image segmentation is a wide research topic; a huge amount of research has been
performed in this context. Image segmentation is a crucial procedure for most object …
performed in this context. Image segmentation is a crucial procedure for most object …
Rice yield estimation based on K-means clustering with graph-cut segmentation using low-altitude UAV images
Predicting the harvest yield enables farm practices to be modified throughout the growing
season, with potential to increase the final yield. Unmanned aerial vehicle (UAV) based …
season, with potential to increase the final yield. Unmanned aerial vehicle (UAV) based …
Eliminating ghosting and exposure artifacts in image mosaics
M Uyttendaele, A Eden… - Proceedings of the 2001 …, 2001 - ieeexplore.ieee.org
As panoramic photography becomes increasingly popular, there is a greater need for high-
quality software to automatically create panoramic images. Existing algorithms either …
quality software to automatically create panoramic images. Existing algorithms either …
A comprehensive survey of image-based food recognition and volume estimation methods for dietary assessment
Dietary studies showed that dietary problems such as obesity are associated with other
chronic diseases, including hypertension, irregular blood sugar levels, and increased risk of …
chronic diseases, including hypertension, irregular blood sugar levels, and increased risk of …
Food calorie measurement using deep learning neural network
P Pouladzadeh, P Kuhad, SVB Peddi… - 2016 IEEE …, 2016 - ieeexplore.ieee.org
Accurate methods to measure food and energy intake are crucial for the battle against
obesity. Providing users/patients with convenient and intelligent solutions that help them …
obesity. Providing users/patients with convenient and intelligent solutions that help them …
A review of image-based food recognition and volume estimation artificial intelligence systems
FS Konstantakopoulos, EI Georga… - IEEE Reviews in …, 2023 - ieeexplore.ieee.org
The daily healthy diet and balanced intake of essential nutrients play an important role in
modern lifestyle. The estimation of a meal's nutrient content is an integral component of …
modern lifestyle. The estimation of a meal's nutrient content is an integral component of …
Vision-based approaches for automatic food recognition and dietary assessment: A survey
Consuming the proper amount and right type of food have been the concern of many
dieticians and healthcare conventions. In addition to physical activity and exercises …
dieticians and healthcare conventions. In addition to physical activity and exercises …
An intelligent cloud-based data processing broker for mobile e-health multimedia applications
SVB Peddi, P Kuhad, A Yassine, P Pouladzadeh… - Future Generation …, 2017 - Elsevier
Mobile e-health applications provide users and healthcare practitioners with an insightful
way to check users/patients' status and monitor their daily calorie intake. Mobile e-health …
way to check users/patients' status and monitor their daily calorie intake. Mobile e-health …
Foodd: food detection dataset for calorie measurement using food images
P Pouladzadeh, A Yassine… - New Trends in Image …, 2015 - Springer
Food detection, classification, and analysis have been the topic of in-depth studies for a
variety of applications related to eating habits and dietary assessment. For the specific topic …
variety of applications related to eating habits and dietary assessment. For the specific topic …