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Overview of machine vision on digital imaging approach for automatic tuna length measurement

Sukiman, A. R. and Hassan, H. and Mohd. Zain, A. and Mukhtar, A. and Panatik, K. Z. (2019) Overview of machine vision on digital imaging approach for automatic tuna length measurement. In: International Conference on Green Engineering Technology and Applied Computing 2019, IConGETech2 019 and International Conference on Applied Computing 2019, ICAC 2019, 4-5 Feb 2019, Eastin Hotel Makkasan Bangkok, Thailand.


Official URL: http://www.dx.doi.org/10.1088/1757-899X/551/1/0120...


The demand of fish and marine product have increased significantly throughout the year. Therefore, overfishing had become major concern for various parties around the world especially the United Nation(UN). Collecting numerical data is a first step toward preservation and conservation of tuna and other fish population. This paper reviews automatic tuna length measurement by using machine vision techniques. This is one of the steps in collecting necessary data on size of fishes caught by fishermen. Previous research had been done on measuring the length of fish, but the accuracy rate of the length measurement is not satisfactory enough. Many factors affecting the accuracy of the length measurement processes such as lighting inequalities, blood on the platform and others. Machine vision techniques have a great potential to be used in automating the measurement of the fish length with high accuracy. Machine vision techniques could improve the accuracy and efficiency of the measurement of the fish length that would substitute the tedious manual work.

Item Type:Conference or Workshop Item (Paper)
Uncontrolled Keywords:data acquisition, fish, fisheries
Subjects:Q Science > QA Mathematics > QA75 Electronic computers. Computer science
ID Code:89611
Deposited By: Narimah Nawil
Deposited On:09 Feb 2021 13:01
Last Modified:09 Feb 2021 13:01

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