Attempts to prevent invasion of marine biofouling on marine vessels are demanding. By developing a system to detect marine fouling on vessels in an early stage of fouling is a viable solution. However, there is a  lack of database for fouling images for performing image processing and machine learning algorithm.

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[1] Cheng Chin, "Marine Fouling Images", IEEE Dataport, 2019. [Online]. Available: http://dx.doi.org/10.21227/k07g-3t57. Accessed: Jan. 15, 2025.
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doi = {10.21227/k07g-3t57},
url = {http://dx.doi.org/10.21227/k07g-3t57},
author = {Cheng Chin },
publisher = {IEEE Dataport},
title = {Marine Fouling Images},
year = {2019} }
TY - DATA
T1 - Marine Fouling Images
AU - Cheng Chin
PY - 2019
PB - IEEE Dataport
UR - 10.21227/k07g-3t57
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Cheng Chin. (2019). Marine Fouling Images. IEEE Dataport. http://dx.doi.org/10.21227/k07g-3t57
Cheng Chin, 2019. Marine Fouling Images. Available at: http://dx.doi.org/10.21227/k07g-3t57.
Cheng Chin. (2019). "Marine Fouling Images." Web.
1. Cheng Chin. Marine Fouling Images [Internet]. IEEE Dataport; 2019. Available from : http://dx.doi.org/10.21227/k07g-3t57
Cheng Chin. "Marine Fouling Images." doi: 10.21227/k07g-3t57