Monitoring of barnacle growth on the underwater hull of an FRP boat using image processing

Article

Ismail, S. B., Salleh, Z., Yusop, M. Y.M. and Fakhruradzi, F. H.. 2013. "Monitoring of barnacle growth on the underwater hull of an FRP boat using image processing." Procedia Computer Science. 23, pp. 146-151. https://doi.org/10.1016/j.procs.2013.10.019
Article Title

Monitoring of barnacle growth on the underwater hull of an FRP boat using image processing

ERA Journal ID124626
Article CategoryArticle
AuthorsIsmail, S. B., Salleh, Z., Yusop, M. Y.M. and Fakhruradzi, F. H.
Journal TitleProcedia Computer Science
Journal Citation23, pp. 146-151
Number of Pages6
Year2013
Place of PublicationNetherlands
ISSN1877-0509
Digital Object Identifier (DOI)https://doi.org/10.1016/j.procs.2013.10.019
Web Address (URL)https://www.sciencedirect.com/science/article/pii/S187705091301154X
Abstract

In this research, photos of barnacles were analysed using image processing. The images of barnacles were taken from the CITRA MOSTI boat made from fibre-glass reinforced plastic (FRP) for monitoring purpose. The photos were taken within a period of three (3) months. Results showed that the barnacles' growth in terms of their size and quantity might be due to the effect of saltwater. Results obtained through SCILAB programming were analysed and comprehensive data were tabulated. From images recorded on February 2013, it was observed that the barnacles had been growing aggressively achieving the highest pixel count of 3000 as compared to images captured in December that only amounted to 2600 pixels. The barnacles were growing at a rate of approximately 10% from the first image analysis. The highest recorded pixels were in the month of the March 2013, attaining about 3500 pixel counts. These changes in growth rate throughout the stipulated period may be due to numerous factors such as the fluctuating of seawater temperature and weather. © 2013 The Authors.

Keywordsbarnacles; fibre-glass; image monitoring
Contains Sensitive ContentDoes not contain sensitive content
ANZSRC Field of Research 2020460306. Image processing
Event4th International Conference on Computational Systems-Biology and Bioinformatics, CSBio 2013
Institution of OriginUniversity of Southern Queensland
Byline AffiliationsUniversity of Kuala Lumpur, Malaysia
Centre of Excellence in Engineered Fibre Composites
Event Details
4th International Conference on Computational Systems-Biology and Bioinformatics, CSBio 2013
Event Date
07 to end of 09 Nov 2013
Event Location
Seoul; South Korea
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