Identification of Freshness of Marine Fish Based on Image of Hue Saturation Value and Morphology

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Field Value
 
Title Identification of Freshness of Marine Fish Based on Image of Hue Saturation Value and Morphology
 
Creator Ekojono, Ekojono
herman, al wegi
Mustika, Mentari
 
Subject Identifikasi Kesegaran Ikan Laut
 
Description Euthynus is one of the fish that is widely consumed for the enjoyment of the people of Indonesia or abroad, because of its very soft quality, easy to obtain, and contains a lot of essential protein amino acids that are good for the body. This research aims to identify the freshness of the fish purchased based on the eyes and fish gills. The initial process of identifying the freshness of fish uses several methods. Image input process through image object taking using a cell phone camera. The image object is used to determine the value of the RGB image object. RGB color extraction clarifies the value obtained from the image object before proceeding to the next process. Image resize is the process of cutting the image on the desired object part. Image conversion using the HSV method was used to determine the freshness of fish in the gills. The Local Binary Pattern method is used to determine the freshness of the fisheye. The next step is to refine the RGB image into Morphology. The KNN (K-Nearest Neighbor Method) method is used to group objects based on learning data closest to the object. The journal analysis results on the comparison of methods, after 45 trials for each method, found that the Hue Saturation Value method obtained the highest success by 90% and for the texture value obtained 85% success.
 
Publisher Universitas Dr. Soetomo
 
Contributor
 
Date 2021-01-31
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion

 
Format application/pdf
 
Identifier https://ejournal.unitomo.ac.id/index.php/inform/article/view/3228
10.25139/inform.v6i1.3228
 
Source Inform : Jurnal Ilmiah Bidang Teknologi Informasi dan Komunikasi; Vol 6, No 1 (2021); 40-48
2581-0367
2502-3470
 
Language eng
 
Relation https://ejournal.unitomo.ac.id/index.php/inform/article/view/3228/pdf
https://ejournal.unitomo.ac.id/index.php/inform/article/downloadSuppFile/3228/774
https://ejournal.unitomo.ac.id/index.php/inform/article/downloadSuppFile/3228/775
https://ejournal.unitomo.ac.id/index.php/inform/article/downloadSuppFile/3228/776
 
Rights Copyright (c) 2021 Inform: Jurnal Ilmiah Bidang Teknologi Informasi dan Komunikasi
http://creativecommons.org/licenses/by-sa/4.0
 

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