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Larvae Counting System of (Oreochromis Niloticus) Using Image
Processing Techniques
Nur Shamira binti Ahmad
Supervisor: Dr. Ezmahamrul Afreen bin Awalludin
Bachelor of Applied Science (Fisheries)
School of Fisheries and Aquaculture Sciences
Counting fish larvae is one of the important part in fisheries field. In this study, the
fish larvae counting based on Oreochromis niloticus samples are presented using
image processing techniques based on edge detection and blob processing. Total
number of 60 samples was collected from Pusat Pengembangan Akuakultur, Machang
Kelantan (PPA). In this research, the first objective is to study the manual approach
counting techniques and the semi-automated counting techniques for Oreochromis
niloticus larvae counting. Secondly, to test the performance of the proposed method
using three different samples dataset such as small (20), medium (20) and large (20),
respectively. Based on the results observation, the proposed method achieved highest
accuracy for three sample datasets which is small (100%), medium (97.52%) and
large (98.47%), respectively. The proposed system is promising to use as an
alternative solution to the manual approach on the fish larvae counting system with
less time processing and less labor-intensive.
625 | UMT UNDERGRADUATE RESEARCH DAY 2018