Abstract: Coastal monitoring is vital in environmental management, disaster mitigation, and addressing climate change impacts. Traditional methods are time-consuming and error-prone, prompting the need for innovative systems. This study introduces the Coastal Video Monitoring System (CoViMos), a novel framework for real-time shoreline detection in tropical regions, specifically at Kedonganan Beach, Bali. The CoViMos framework utilizes advanced video monitoring and optimized morphological operations to address challenges such as environmental noise and dynamic shoreline behavior. Key innovations include Kapur’s entropy thresholding enhanced with the Grasshopper Optimization Algorithm (GOA) and structuring elements tailored to the beach’s unique features. Sensitivity analysis reveals that a structuring element size of five pixels offers optimal performance, balancing efficiency, and image fidelity. This configuration achieves peak values in quality metrics such as the Peak Signal-to-Noise Ratio (PSNR), Structural Similarity Index (SSIM), Complex Wavelet SSIM (CWSSIM), and Feature Similarity Index (FSIM) while minimizing Mean Squared Error (MSE) and reducing processing time. The results demonstrate significant improvements in shoreline detection accuracy, with PSNR increasing by 9.3%, SSIM by 1.4%, CWSSIM by 1.7%, and FSIM by 1.6%. Processing time decreased by 1.3%, emphasizing the system’s computational efficiency. These enhancements ensure more precise shoreline mapping, even in noisy and dynamic environments.

I Gusti Ngurah Agung Pawana, I Made Oka Widyantara, Made Sudarma, Dewa Made Wiharta and Made Widya Jayantari, “Enhancement of Coastline Video Monitoring System Using Structuring Element Morphological Operations” International Journal of Advanced Computer Science and Applications(IJACSA), 16(1), 2025. http://dx.doi.org/10.14569/IJACSA.2025.0160158

@article{Pawana2025,
title = {Enhancement of Coastline Video Monitoring System Using Structuring Element Morphological Operations},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2025.0160158},
url = {http://dx.doi.org/10.14569/IJACSA.2025.0160158},
year = {2025},
publisher = {The Science and Information Organization},
volume = {16},
number = {1},
author = {I Gusti Ngurah Agung Pawana and I Made Oka Widyantara and Made Sudarma and Dewa Made Wiharta and Made Widya Jayantari}
}