Food image analysis has been one of the most important tasks accomplished for automatic dietary monitoring. In this work, we address semantic segmentation of food images with Deep Learning. Additionally, we explore food and non-food segmentation by getting advantage of supervised learning. Specifically, we have experimented SegNet model on these two food-related computer vision tasks. Experimental results show that followed approach brings appealing results on semantic food segmentation and significantly advances on food and non-food segmentation.

Aslan, S., Ciocca, G., Schettini, R. (2018). Semantic segmentation of food images for automatic dietary monitoring. In 26th IEEE Signal Processing and Communications Applications Conference, SIU 2018 (pp.1-4). Institute of Electrical and Electronics Engineers Inc. [10.1109/SIU.2018.8404824].

Semantic segmentation of food images for automatic dietary monitoring

Aslan, S;Ciocca, G;Schettini, R
2018

Abstract

Food image analysis has been one of the most important tasks accomplished for automatic dietary monitoring. In this work, we address semantic segmentation of food images with Deep Learning. Additionally, we explore food and non-food segmentation by getting advantage of supervised learning. Specifically, we have experimented SegNet model on these two food-related computer vision tasks. Experimental results show that followed approach brings appealing results on semantic food segmentation and significantly advances on food and non-food segmentation.
slide + paper
Automatic dietary monitoring; Deep convolutional neural networks; Deep learning; Food image segmentation; Image segmentation; Semantic segmentation; Artificial Intelligence; Computer Networks and Communications; Computer Science Applications1707 Computer Vision and Pattern Recognition; Signal Processing
Turkish
IEEE Signal Processing and Communications Applications Conference, SIU 2018
2018
Aslan, S
26th IEEE Signal Processing and Communications Applications Conference, SIU 2018
9781538615010
2018
1
4
none
Aslan, S., Ciocca, G., Schettini, R. (2018). Semantic segmentation of food images for automatic dietary monitoring. In 26th IEEE Signal Processing and Communications Applications Conference, SIU 2018 (pp.1-4). Institute of Electrical and Electronics Engineers Inc. [10.1109/SIU.2018.8404824].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/204294
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