A methodology correlating digital imagery with concentration via color feature extraction
Date of Publication
Bachelor of Science in Biochemistry
College of Science
Eric Camilo Punzalan
Defense Panel Chair
Marissa G. Noel
Defense Panel Member
Arlene C. Pascasio
The study devised a method of digital imagery and color feature extraction to serve as a foundation for future application in algal bloom detection. Through the extraction of the Hue-Saturation pair and Count values of each image, its correlation with the concentration of the solution is obtained. The study is focused on aerial imagery of green dye solutions with varying concentrations to represent algal blooms. Data collected show that a solution with a low count value is homogeneous and a solution with high saturation is more concentrated. A setup that provides an appropriate environment for optimum feature extraction consists of a clear matter container with a white base, a camera with at least 10 megapixels, an ISO setting of 400 or lower and a high aperture. In addition to these settings, the image must be shot in ambient light. In order to obtain the Hue and Saturation values, the images were processed in a Matlab environment that feature-extracted an image per pixel and obtained the Hue, Saturation and Count Values.
Archives, The Learning Commons, 12F, Henry Sy Sr. Hall
54,  leaves : illustrations (some color) ; 28 cm.
Digital images; Extraction (Chemistry)
Mulingbayan, I. C., & Sanchez, A. C. (2013). A methodology correlating digital imagery with concentration via color feature extraction. Retrieved from https://animorepository.dlsu.edu.ph/etd_bachelors/6664