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Fish freshness segmentation for largescaled terapon, Terapon theraps
using image processing techniques
Nor Fatini Binti Juhari
Supervisor: Dr Ezmahamrul Afreen Bin Awalludin
Bachelor of Science in Agrotechnology (Aquaculture)
School of Fisheries and Aquaculture Sciences
This study was focuses on the non-destructive image processing technique to segment
the fish eyes and gills of Largescale terapon, Terapon theraps to obtain the mean and
standard deviation value by using the proposed system. The proposed method is
developed based on combination of image processing methods to determine the
freshness of the fish sample. In this study, the RGB color model was used to segment
the fish eye and gill. The fish freshness was evaluated through color changes of fish
eyes and gills by referring its mean value (M) and standard deviation value (Std).
Based on the output results, there was a significant difference in the scores at day 1
(fish eyes : fish gills = M=2.89, Std=16.91 : M=7.32, Std=23.43) and at day 5 (fish
eyes : fish gills = M=1.10, Std=10.39 : M=4.02, Std=17.59). The proposed method
is promising to determine the freshness of fish using image processing technique with
less human intervention and effectively.
511 | UMT UNDERGRADUATE RESEARCH DAY 2018