Multi-View Edge Attention Network for Fine-Grained Food Image Segmentation

doi:10.3390/foods14173016

	Multi-View Edge Attention Network for Fine-Grained Food Image Segmentation
	Liu, Chengxu 1; Sheng, Guorui 1; Min, Weiqing 2,3; Wu, Xiaojun 4; Jiang, Shuqiang 2,3
	2025-08-28
发表期刊	FOODS
卷号	14 期号:17 页码:14
摘要	Precisely identifying and delineating food regions automatically from images, a task known as food image segmentation, is crucial for enabling applications in food science such as automated dietary logging, accurate nutritional analysis, and food safety monitoring. However, accurately segmenting food images, particularly delineating food edges with precision, remains challenging due to the wide variety and diverse forms of food items, frequent inter-food occlusion, and ambiguous boundaries between food and backgrounds or containers. To overcome these challenges, we proposed a novel method called the Multi-view Edge Attention Network (MVEANet), which focuses on enhancing the fine-grained segmentation of food edges. The core idea behind this method is to integrate information obtained from observing food from different perspectives to achieve a more comprehensive understanding of its shape and specifically to strengthen the processing capability for food contour details. Rigorous testing on two large public food image datasets, FoodSeg103 and UEC-FoodPIX Complete, demonstrates that MVEANet surpasses existing state-of-the-art methods in segmentation accuracy, performing exceptionally well in depicting clear and precise food boundaries. This work provides the field of food science with a more accurate and reliable tool for automated food image segmentation, offering strong technical support for the development of more intelligent dietary assessment, nutritional research, and health management systems.
关键词	food image image segmentation food health deep learning
DOI	10.3390/foods14173016
收录类别	SCI
语种	英语
WOS研究方向	Food Science & Technology
WOS类目	Food Science & Technology
WOS记录号	WOS:001570058400001
出版者	MDPI
引用统计
文献类型	期刊论文
条目标识符	http://119.78.100.204/handle/2XEOYT63/41713
专题	中国科学院计算技术研究所期刊论文_英文
通讯作者	Min, Weiqing
作者单位	1.Ludong Univ, Sch Informat & Elect Engn, Yantai 264025, Peoples R China 2.Chinese Acad Sci, Key Lab Intelligent Informat Proc, Inst Comp Technol, Beijing 100190, Peoples R China 3.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 4.Jiangnan Univ, Inst Sci & Technol, Wuxi 214122, Peoples R China
推荐引用方式 GB/T 7714	Liu, Chengxu,Sheng, Guorui,Min, Weiqing,et al. Multi-View Edge Attention Network for Fine-Grained Food Image Segmentation[J]. FOODS,2025,14(17):14.
APA	Liu, Chengxu,Sheng, Guorui,Min, Weiqing,Wu, Xiaojun,&Jiang, Shuqiang.(2025).Multi-View Edge Attention Network for Fine-Grained Food Image Segmentation.FOODS,14(17),14.
MLA	Liu, Chengxu,et al."Multi-View Edge Attention Network for Fine-Grained Food Image Segmentation".FOODS 14.17(2025):14.