基于图像的食物识别和体积估算人工智能系统综述。

IF 17.2 1区 工程技术 Q1 ENGINEERING, BIOMEDICAL IEEE Reviews in Biomedical Engineering Pub Date : 2023-06-05 DOI:10.1109/RBME.2023.3283149
Fotios S. Konstantakopoulos;Eleni I. Georga;Dimitrios I. Fotiadis
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引用次数: 1

摘要

日常健康饮食和必需营养素的均衡摄入在现代生活方式中发挥着重要作用。对膳食营养成分的估计是糖尿病、肥胖症和心血管疾病等重大疾病不可或缺的组成部分。最近,人们对开发和使用智能手机应用程序以促进健康行为越来越感兴趣。在相关文献中,半自动或自动、精确和实时地估算每日膳食的营养成分是一个计算机视觉问题,使用的是通过用户智能手机拍摄的食物图像。在此,我们将从食物图像数据库这一基础出发,介绍自动食物识别和食物体积估算方法的最新进展。首先,本综述研究有条不紊地整理了从综述研究中提取的信息,对用于分割食物图像、分类食物内容和计算食物体积的方法和技术进行了全面公正的评估,并将其结果与所用数据集的特点联系起来。其次,通过公正地报告这些方法的优势和局限性,并针对后者提出实用的解决方案,本综述可为膳食评估系统领域的未来发展指明方向。
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A Review of Image-Based Food Recognition and Volume Estimation Artificial Intelligence Systems
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 significant diseases, such as diabetes, obesity and cardiovascular disease. Lately, there has been an increasing interest towards the development and utilization of smartphone applications with the aim of promoting healthy behaviours. The semi – automatic or automatic, precise and in real-time estimation of the nutrients of daily consumed meals is approached in relevant literature as a computer vision problem using food images which are taken via a user's smartphone. Herein, we present the state-of-the-art on automatic food recognition and food volume estimation methods starting from their basis, i.e., the food image databases. First, by methodically organizing the extracted information from the reviewed studies, this review study enables the comprehensive fair assessment of the methods and techniques applied for segmenting food images, classifying their food content and computing the food volume, associating their results with the characteristics of the used datasets. Second, by unbiasedly reporting the strengths and limitations of these methods and proposing pragmatic solutions to the latter, this review can inspire future directions in the field of dietary assessment systems.
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来源期刊
IEEE Reviews in Biomedical Engineering
IEEE Reviews in Biomedical Engineering Engineering-Biomedical Engineering
CiteScore
31.70
自引率
0.60%
发文量
93
期刊介绍: IEEE Reviews in Biomedical Engineering (RBME) serves as a platform to review the state-of-the-art and trends in the interdisciplinary field of biomedical engineering, which encompasses engineering, life sciences, and medicine. The journal aims to consolidate research and reviews for members of all IEEE societies interested in biomedical engineering. Recognizing the demand for comprehensive reviews among authors of various IEEE journals, RBME addresses this need by receiving, reviewing, and publishing scholarly works under one umbrella. It covers a broad spectrum, from historical to modern developments in biomedical engineering and the integration of technologies from various IEEE societies into the life sciences and medicine.
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