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Estimation of Fungiidae Sp. Coral Reef Distribution Via Still Images
Ahmad Danial Bin Mohd Amin
Supervisor: Assoc. Prof. Dr. Muhammad Suzuri Bin Hitam
Bachelor of Computer Sciences (Software Engineering)
School of Informatics and Applied Mathematics
This thesis presents a proposed method to detect, recognize and estimate a coral reef distribution
of the type Fungiidae Sp. by using Local Binary Pattern technique. The conventional technique of
estimating the distribution of Fungiidae Sp. Is through manual survey which is conducted using
CPCe software. This manual technique is not consistent, subject to human error and taking a lot
of operator time. Therefore, in this thesis, a new proposed method based on Local Binary Pattern
is proposed to estimate the distribution of the Fungiidae Sp. coral reefs distribution. It is
anticipated that the proposed method will lead to rapid detection with consistent recognition
results. At this time of writing, the proposed method has been tested on selected samples and it
show the possibility of making this process automatic. Further investigation is ongoing to ensure
the workability of the method.
785 | UMT UNDERGRADUATE RESEARCH DAY 2018