Master of Science (MS)
computer vision, OpenCV, color thresholding, segmentation, contouring, machine learning, coral reefs, biodiversity
This paper presents research outcomes of understanding coral reef biodiversity through the usage of various computer vision applications and techniques. It aims to help further analyze and understand the coral reef biodiversity through the usage of color thresholding and contouring onto images of the ARMS plates to extract groups of microorganisms based on color. The results are comparable to the manual markup tool developed to do the same tasks and shows that the manual process can be sped up using computer vision. The paper presents an automated way to extract groups of microorganisms based on color without the use of manual work.
Tran, Scott Vuong, "Using Color Thresholding and Contouring to Understand Coral Reef Biodiversity" (2020). Master's Projects. 915.