A methodology correlating digital imagery with concentration via color feature extraction

Date of Publication

2013

Document Type

Bachelor's Thesis

Degree Name

Bachelor of Science in Biochemistry

College

College of Science

Department/Unit

Chemistry

Thesis Adviser

Eric Camilo Punzalan

Defense Panel Chair

Marissa G. Noel

Defense Panel Member

Jaime Janairo
Michael Ajero
Arlene C. Pascasio

Abstract/Summary

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.

Abstract Format

html

Language

English

Format

Print

Accession Number

TU17480

Shelf Location

Archives, The Learning Commons, 12F, Henry Sy Sr. Hall

Physical Description

54, [2] leaves : illustrations (some color) ; 28 cm.

Keywords

Digital images; Extraction (Chemistry)

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