Image-based coral reef formation detection and change assessment system
Date of Publication
2015
Document Type
Bachelor's Thesis
Degree Name
Bachelor of Science in Electronics Engineering
College
Gokongwei College of Engineering
Department/Unit
Electronics and Communications Engineering
Thesis Adviser
Roy Francis R. Navea
Defense Panel Chair
Alexander C. Abad
Defense Panel Member
Mark Lorenze D. Torregoza
Enrique M. Manzano
Abstract/Summary
Coral reefs play an essential role in marine biodiversity as they provide protection and shelter for marine species. Coral reefs also take a major part in maintaining the amount of carbon dioxide and filtration of coastal waters. The destruction and decrease of coral reefs may lead to an imbalance in marine biodiversity. Hence, the coral reefs have to be protected through monitoring and surveillance.
In this study, an image-based system that monitors coral reef formation detection and assess coral reef changes was implemented. Image Differencing and Post Classification Methods were used to perform recognition and detection of coral reef formation. Foreign objects such as coins, metal rod and stones were dropped to the experimental set-up. Significant changes in the coral reef environment as well as the significant changes in the formation of the coral reefs after the appearance of foreign objects were assessed. The average accuracy of the system relative to the foreign objects considered is 88.5%.
Overall, the study proved that both algorithms are effective in underwater image processing of the coral reef formation. Statistically, there is no significant difference between the results of the two algorithms as used in this study.
Abstract Format
html
Language
English
Format
Accession Number
TU17028
Shelf Location
Archives, The Learning Commons, 12F, Henry Sy Sr. Hall
Physical Description
xii, 168 leaves ; llustrations (some color) ; 28 cm. + 1 disc ; 4 3/4 in.
Keywords
Coral reef conservation; Coral reef ecology
Recommended Citation
Ofren, H. M., Ramos, R. G., & Villanueva, A. U. (2015). Image-based coral reef formation detection and change assessment system. Retrieved from https://animorepository.dlsu.edu.ph/etd_bachelors/7141
