Feature extraction from digitized images of dye solutions as a model for algal bloom remote sensing

• Main Authors: Punzalan, Eric R., Ong, Prane Mariel B., Carandang, Jose Santos R., Vi, Santos, Gil Nonato C., Mulingbayan, Isa Mae C., Sanchez, Azzedine Erika C., Go, Natasha Pauline A., Huang, Jialing L.
• Format: text
• Published: Animo Repository 2013
• Subjects: Algal blooms—Remote sensing; Digital image correlation; Chemistry; Physics
• Online Access: https://animorepository.dlsu.edu.ph/faculty_research/9324
• Institution: De La Salle University

Digital images of dye solutions were obtained under controlled conditions to simulate images of algal blooms. The images were dissected and analyzed using RGB color space to determine color feature-pigment concentration correlations. The results indicate that the technique may be used in the determi...