low-level color and texture feature extraction of coral reef components

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ID: 255572
2003
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Abstract
The purpose of this study is to develop a computer-based classifier that automates coral reef assessmentfrom digitized underwater video. We extract low-level color and texture features from coral images toserve 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 thesemajor 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 dependingon the gray-level variance of the region.
Reference Key
marcos2003sciencelow-level Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Ma. Sheila Angeli Marcos, Maricor Soriano, Caesar Saloma
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Journal hydrology
Year 2003
DOI
DOI not found
URL
http://journals.upd.edu.ph/index.php/sciencediliman/article/view/133/124
Keywords
coral reef histogram backprojectionsciencescience (general)

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