Turbidity of Coconut Oil Determination Using the MAMoH Method in Image Processing

In general, considering standard production, as well as coconut oil production, in oil consumption industries is an important factor. Oil color is an important element, as it is an important factor for consumers or buyers in selecting coconut oil. In the process of producing coconut oil, the cold-pr...

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Main Authors: Attapon Palananda, Warangkhana Kimpan
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/9373568/
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spelling doaj-dbac44cadddd4af49b83a4bae1a5af5b2021-03-30T15:02:43ZengIEEEIEEE Access2169-35362021-01-019414944150510.1109/ACCESS.2021.30650049373568Turbidity of Coconut Oil Determination Using the MAMoH Method in Image ProcessingAttapon Palananda0Warangkhana Kimpan1https://orcid.org/0000-0002-0325-9312Department of Computer Science, Faculty of Science, King Mongkut’s Institute of Technology Ladkrabang, Bangkok, ThailandDepartment of Computer Science, Faculty of Science, King Mongkut’s Institute of Technology Ladkrabang, Bangkok, ThailandIn general, considering standard production, as well as coconut oil production, in oil consumption industries is an important factor. Oil color is an important element, as it is an important factor for consumers or buyers in selecting coconut oil. In the process of producing coconut oil, the cold-pressed method has been chosen to maintain the essential quality of coconut oil. The quality of the coconut oil is inspected from the production process by means of light passing through the coconut oil. Then, the production staff compares the turbidity of coconut oil with the master sample. The turbidity of coconut oil in every production must be compared with a master sample to maintain standards control. According to previous studies, there are many methods for determining coconut oil turbidity. One method that has been utilized is determining turbidity from light passing through the medium in which the transmitted light can be absorbed through the turbidity of the variable medium. This process is applied together with image processing to determine the coconut oil turbidity. In this research, we propose a method for measuring coconut oil turbidity by the Moving Average Median of Hue (MAMoH), which is better in detecting the coconut oil turbidity than the Median of Gray Scale (MoGS) method, Median of Hue (MoH) method, and Random Position Median of Hue (RPMoH) method. In terms of the percentage accuracy of the efficiency test; the MAMoH method has 99 percent accuracy, while the MoGS method is not applicable, the MoH method has 88.04 percent accuracy, and the RPMoH method has 85.91 percent accuracy. Thus, the MAMoH method is considered an appropriate method for measuring coconut oil turbidity.https://ieeexplore.ieee.org/document/9373568/Image processingturbidity levelmoving averagecoconut oilcomputer vision
collection DOAJ
language English
format Article
sources DOAJ
author Attapon Palananda
Warangkhana Kimpan
spellingShingle Attapon Palananda
Warangkhana Kimpan
Turbidity of Coconut Oil Determination Using the MAMoH Method in Image Processing
IEEE Access
Image processing
turbidity level
moving average
coconut oil
computer vision
author_facet Attapon Palananda
Warangkhana Kimpan
author_sort Attapon Palananda
title Turbidity of Coconut Oil Determination Using the MAMoH Method in Image Processing
title_short Turbidity of Coconut Oil Determination Using the MAMoH Method in Image Processing
title_full Turbidity of Coconut Oil Determination Using the MAMoH Method in Image Processing
title_fullStr Turbidity of Coconut Oil Determination Using the MAMoH Method in Image Processing
title_full_unstemmed Turbidity of Coconut Oil Determination Using the MAMoH Method in Image Processing
title_sort turbidity of coconut oil determination using the mamoh method in image processing
publisher IEEE
series IEEE Access
issn 2169-3536
publishDate 2021-01-01
description In general, considering standard production, as well as coconut oil production, in oil consumption industries is an important factor. Oil color is an important element, as it is an important factor for consumers or buyers in selecting coconut oil. In the process of producing coconut oil, the cold-pressed method has been chosen to maintain the essential quality of coconut oil. The quality of the coconut oil is inspected from the production process by means of light passing through the coconut oil. Then, the production staff compares the turbidity of coconut oil with the master sample. The turbidity of coconut oil in every production must be compared with a master sample to maintain standards control. According to previous studies, there are many methods for determining coconut oil turbidity. One method that has been utilized is determining turbidity from light passing through the medium in which the transmitted light can be absorbed through the turbidity of the variable medium. This process is applied together with image processing to determine the coconut oil turbidity. In this research, we propose a method for measuring coconut oil turbidity by the Moving Average Median of Hue (MAMoH), which is better in detecting the coconut oil turbidity than the Median of Gray Scale (MoGS) method, Median of Hue (MoH) method, and Random Position Median of Hue (RPMoH) method. In terms of the percentage accuracy of the efficiency test; the MAMoH method has 99 percent accuracy, while the MoGS method is not applicable, the MoH method has 88.04 percent accuracy, and the RPMoH method has 85.91 percent accuracy. Thus, the MAMoH method is considered an appropriate method for measuring coconut oil turbidity.
topic Image processing
turbidity level
moving average
coconut oil
computer vision
url https://ieeexplore.ieee.org/document/9373568/
work_keys_str_mv AT attaponpalananda turbidityofcoconutoildeterminationusingthemamohmethodinimageprocessing
AT warangkhanakimpan turbidityofcoconutoildeterminationusingthemamohmethodinimageprocessing
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