Firstly, the Automatic Sublingual Vein Feature Extraction System put the tongue imagery through image calibration, teeth and oral cavity area identification, control point detection to determine the tongue- back region.
Jun 5, 2014
Sublingual veins are extracted through analyzing RGB color component shift, hues, saturation and brightness. Then the sublingual vein color information and ...
An Automatic Sublingual Vein Feature Extraction System based on image processing technologies to allow objective and quantified computer readings
The extraction of sublingual vein features mainly captures the back of the tongue and extract the sublingual vein area for feature expression analysis. Firstly, ...
Sep 17, 2024 · In this paper, we present an innovative tongue feature extraction method that relies on focusing specifically on segmenting the sublingual vein ...
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Sep 17, 2024 · The features of the sublingual veins, including swelling, varicose patterns, and cyanosis, are pivotal in differentiating symptoms and selecting ...
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The experimental results demonstrate that the proposed algorithm can extract the sublingual veins more accurately than the traditional algorithms and can ...
Nov 7, 2022 · This study aims at developing a computer-assisted system based on machine learning (ML) techniques for diagnosing the severity of sublingual varicose veins.
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Most existing sublingual veins extraction methods are using sublingual images captured by traditional CCD cameras. However, these conversional methods impede ...