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

Authors

Eric R. Punzalan, De La Salle University, Manila
Prane Mariel B. Ong, De La Salle University, Manila
Jose Santos R. Carandang Vi, De La Salle University, Manila
Gil Nonato C. Santos, De La Salle University, Manila
Isa Mae C. Mulingbayan, De La Salle University, Manila
Azzedine Erika C. Sanchez, De La Salle University, Manila
Natasha Pauline A. Go, De La Salle University, Manila
Jialing L. Huang, De La Salle University, Manila

College

College of Science

Department/Unit

Physics

Document Type

Archival Material/Manuscript

Publication Date

2013

Abstract

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 determination of algal bloom levels / water pigmentation by application of the same analysis to aerial photos of HAB affected bodies of water.

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Recommended Citation

Punzalan, E. R., Ong, P. B., Carandang, J. R., Santos, G. C., Mulingbayan, I. C., Sanchez, A. C., Go, N. A., & Huang, J. L. (2013). Feature extraction from digitized images of dye solutions as a model for algal bloom remote sensing. Retrieved from https://animorepository.dlsu.edu.ph/faculty_research/9324

Disciplines

Chemistry | Physics

Keywords

Algal blooms—Remote sensing; Digital image correlation

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