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Color space and color channel selection on image segmentation of food images

Register: Jurnal Ilmiah Teknologi Sistem Informasi

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Title Color space and color channel selection on image segmentation of food images
 
Creator Maulana, Luthfi
Bihanda, Yusuf Gladiensyah
Sari, Yuita Arum
 
Subject color channel; color space; food image segmentation; food images; image segmentation
 
Description Image segmentation is a predefined process of image processing to determine a specific object. One of the problems in food recognition and food estimation is the lack of quality of the result of image segmentation. This paper presents a comparative study of different color space and color channel selection in image segmentation of food images. Based on previous research regarding image segmentation used in food leftover estimation, this paper proposed a different approach to selecting color space and color channel based on the score of Intersection Over Union (IOU) and Dice from the whole dataset. The color transformation is required, and five color spaces were used: CIELAB, HSV, YUV, YCbCr, and HLS. The result shows that A in LAB and H in HLS are better to produce segmentation than other color channels, with the Dice score of both is 5 (the highest score). It concludes that this color channel selection is applicable to be embedded in the Automatic Food Leftover Estimation (AFLE) algorithm.
 
Publisher Information Systems - Universitas Pesantren Tinggi Darul Ulum
 
Contributor —
 
Date 2020-09-01
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
 
Format application/pdf
 
Identifier https://journal.unipdu.ac.id/index.php/register/article/view/2061
10.26594/register.v6i2.2061
 
Source Register: Jurnal Ilmiah Teknologi Sistem Informasi; Vol 6, No 2 (2020): July; 141-151
Register: Jurnal Ilmiah Teknologi Sistem Informasi; Vol 6, No 2 (2020): July; 141-151
2502-3357
2503-0477
10.26594/register.v6i2
 
Language eng
 
Relation https://journal.unipdu.ac.id/index.php/register/article/view/2061/pdf
 
Rights Copyright (c) 2020 L. Maulana, Y. G. Bihanda, Y. A. Sari
http://creativecommons.org/licenses/by-nc-sa/4.0