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Know-GRRF: Domain-Knowledge Informed Biomarker Discovery with Random Forests Read chapter Read first chapter

2018 | OriginalPaper | Chapter

Thermal Imaging for Localization of Anterior Forearm Subcutaneous Veins

Authors : Orcan Alpar, Ondrej Krejcar

Published in: Bioinformatics and Biomedical Engineering

Publisher: Springer International Publishing

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Abstract

The anterior forearm recognition systems are very popular identify the subcutaneous veins, mostly by devices operating real-time. Real time projection systems are carried out by handheld devices with a near infrared (NIR) camera and a laser projector to choose venipuncture sites; however what we propose in this paper is an easier and more reliable way using infrared thermal (IR-T) camera. At the forearm some veins like Cephalic vein are mostly so concealed to detect by NIR cameras, therefore we propose an alternative method for localization of the whole vein system without preprocessing. Briefly in the thermograms, the forearm is segmented from the surrounding by crisp 2- means and the vein system is reconstructed on blank images by directional curvature method. All directional curvatures are combined by addition for merging the layers and highlighting mutual veins. The preliminary results are promising since all the vein system is revealed with invisible veins without any preprocessing.

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previous chapter Advances in Homotopy Applied to Object Deformation
next chapter Detection of Irregular Thermoregulation in Hand Thermography by Fuzzy C-Means
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Metadata
Title
Thermal Imaging for Localization of Anterior Forearm Subcutaneous Veins
Authors
Orcan Alpar
Ondrej Krejcar
Copyright Year
2018
Book
Bioinformatics and Biomedical Engineering

Print ISBN: 978-3-319-78758-9

Electronic ISBN: 978-3-319-78759-6

Copyright Year: 2018

DOI
https://doi.org/10.1007/978-3-319-78759-6_23

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