Thermal Imaging for Localization of Anterior Forearm Subcutaneous Veins
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62690094%3A18450%2F18%3A50014706" target="_blank" >RIV/62690094:18450/18:50014706 - isvavai.cz</a>
Result on the web
<a href="https://link.springer.com/chapter/10.1007/978-3-319-78759-6_23" target="_blank" >https://link.springer.com/chapter/10.1007/978-3-319-78759-6_23</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-78759-6_23" target="_blank" >10.1007/978-3-319-78759-6_23</a>
Alternative languages
Result language
angličtina
Original language name
Thermal Imaging for Localization of Anterior Forearm Subcutaneous Veins
Original language description
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.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Lecture notes in computer science
ISBN
978-3-319-78758-9
ISSN
0302-9743
e-ISSN
neuvedeno
Number of pages
12
Pages from-to
243-254
Publisher name
Springer
Place of publication
Cham
Event location
Granada
Event date
Apr 25, 2018
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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