Low-Level Color and Textre Feature Extraction of Coral Reef Components
Abstract
The purpose of this study is to develop a computer-based classifier that automates coral reef assessment from digitized underwater video. We extract low-level color and texture features from coral images to serve as input to a high-level classifier. Low-level features for color were labeled blue, green, yellow/brown/orange, and gray/white, which are described by the normalized chromaticity histograms of these major colors. The color matching capability of these features was determined through a technique called “Histogram Backprojection”. The low-level texture feature marks a region as coarse or fine depending on the gray-level variance of the region.
Published
2007-07-16
How to Cite
MARCOS, Ma. Sheila Angeli; SORIANO, Maricor; SALOMA, Caesar.
Low-Level Color and Textre Feature Extraction of Coral Reef Components.
Science Diliman: A Journal of Pure and Applied Sciences, [S.l.], v. 15, n. 1, july 2007.
ISSN 2012-0818.
Available at: <https://journals.upd.edu.ph/index.php/sciencediliman/article/view/133>. Date accessed: 06 aug. 2025.
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