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Identifying the Growth Phase of Microalgae using Image Processing

FYP 2 SEM 2 2019/2020

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Main Author: Amir RIdhwan bin Ahmad Fauzi
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Language:English
Published: 2023
Subjects:
Microalgae
Image Processing
Growth Phases
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spelling my.uniten.dspace-216022023-05-04T01:23:42Z Identifying the Growth Phase of Microalgae using Image Processing Amir RIdhwan bin Ahmad Fauzi Microalgae Image Processing Growth Phases FYP 2 SEM 2 2019/2020 There are many methods when it comes to finding the growth rate of microalgae, and cell counting seems to be one of those acceptable techniques. This method requires a hemocytometer slide, which allows the microalgae to be counted in each of its chambers. Due to the size of microalgae, a compound microscope was needed in order to view the cells and the chambers clearly. However, the use of this technique has been declared as time-consuming and labor-intensive by many researches. This thesis details the necessity of an image processing algorithm in a fast-paced automated cell counter and reports the benefits of near-infrared (NIR) imaging in comparison to visible image. The acquired images that were taken from the microscope separated into two different spectrums, visible and NIR. A cell counting algorithm was later developed by using Image Processing Toolbox in MATLAB, which includes operations such as grayscale conversion, contrast enhancement, image thresholder, and image perimeter to determine the number of microalgae cells present in an image. From the obtained results, it was discovered that the NIR images yields a lower average percentage error, 7.969 %, in comparison to the visible images, which had an estimated error of 8.797 %. This was due to the fact that the NIR images has a property that can cut-off noises within the visible range, resulting in a clearer and better-quality image. This proves that the microalgae images taken within the NIR range creates a potential in the improvements of microalgae cell count determination, leading into a better growth phase detemination. 2023-05-03T17:23:41Z 2023-05-03T17:23:41Z 2020-02 https://irepository.uniten.edu.my/handle/123456789/21602 en
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
language English
topic Microalgae
Image Processing
Growth Phases
spellingShingle Microalgae
Image Processing
Growth Phases
Amir RIdhwan bin Ahmad Fauzi
Identifying the Growth Phase of Microalgae using Image Processing
description FYP 2 SEM 2 2019/2020
format
author Amir RIdhwan bin Ahmad Fauzi
author_facet Amir RIdhwan bin Ahmad Fauzi
author_sort Amir RIdhwan bin Ahmad Fauzi
title Identifying the Growth Phase of Microalgae using Image Processing
title_short Identifying the Growth Phase of Microalgae using Image Processing
title_full Identifying the Growth Phase of Microalgae using Image Processing
title_fullStr Identifying the Growth Phase of Microalgae using Image Processing
title_full_unstemmed Identifying the Growth Phase of Microalgae using Image Processing
title_sort identifying the growth phase of microalgae using image processing
publishDate 2023
_version_ 1806426411571871744
score 13.219503

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