Enhanced vein detection from video sequences

Nowadays, infusion of a needle is everyday common practice for the medical practitioner. A numerous fault occurs at the time of needle infusion into the blood vessel which is covered inside the human skin even though it is a simple and common practice in medical practitioning. This research proposes...

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Main Authors:	Ahmed, Kazi Istiaque, Habaebi, Mohamed Hadi, Islam, Md. Rafiqul
Format:	Article
Language:	English English
Published:	Institute of Advanced Engineering and Science (IAES) Indonesia 2017
Subjects:	TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://irep.iium.edu.my/60024/ http://irep.iium.edu.my/60024/ http://irep.iium.edu.my/60024/ http://irep.iium.edu.my/60024/1/10011-12425-1-PB.pdf http://irep.iium.edu.my/60024/7/Enhanced%20vein%20detection%20from%20video%20sequences.pdf

id	iium-60024
recordtype	eprints
spelling	iium-600242018-01-15T02:53:20Z http://irep.iium.edu.my/60024/ Enhanced vein detection from video sequences Ahmed, Kazi Istiaque Habaebi, Mohamed Hadi Islam, Md. Rafiqul TK Electrical engineering. Electronics Nuclear engineering Nowadays, infusion of a needle is everyday common practice for the medical practitioner. A numerous fault occurs at the time of needle infusion into the blood vessel which is covered inside the human skin even though it is a simple and common practice in medical practitioning. This research proposes a computer-aided new technique using the vision-based imaging and Contrast Limited Adative Histogram Equalization (CLAHE) to detect and visualize the vein beneath a human's skin from video sequences which will be a really cost effective solution. IR night vision camera is being used to acquire the videos of an arm to compute the effect electromagnetic effect from NIR illumination which is absorbed by the hemoglobin of the blood vessel tissues. More precisely, its application can lead the process not only for error-free infusion of a needle to the patients but also localization of abdominal bleeding, stroke-inducing clots in the vein are the name of few. Institute of Advanced Engineering and Science (IAES) Indonesia 2017-11 Article PeerReviewed application/pdf en http://irep.iium.edu.my/60024/1/10011-12425-1-PB.pdf application/pdf en http://irep.iium.edu.my/60024/7/Enhanced%20vein%20detection%20from%20video%20sequences.pdf Ahmed, Kazi Istiaque and Habaebi, Mohamed Hadi and Islam, Md. Rafiqul (2017) Enhanced vein detection from video sequences. Indonesian Journal of Electrical Engineering and Computer Science, 8 (2). pp. 420-427. ISSN 2502-4752 E-ISSN 2502-4760 http://iaescore.com/journals/index.php/IJEECS/article/view/10011/7645 10.11591/ijeecs.v8.i2.pp420-427
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English English
topic	TK Electrical engineering. Electronics Nuclear engineering
spellingShingle	TK Electrical engineering. Electronics Nuclear engineering Ahmed, Kazi Istiaque Habaebi, Mohamed Hadi Islam, Md. Rafiqul Enhanced vein detection from video sequences
description	Nowadays, infusion of a needle is everyday common practice for the medical practitioner. A numerous fault occurs at the time of needle infusion into the blood vessel which is covered inside the human skin even though it is a simple and common practice in medical practitioning. This research proposes a computer-aided new technique using the vision-based imaging and Contrast Limited Adative Histogram Equalization (CLAHE) to detect and visualize the vein beneath a human's skin from video sequences which will be a really cost effective solution. IR night vision camera is being used to acquire the videos of an arm to compute the effect electromagnetic effect from NIR illumination which is absorbed by the hemoglobin of the blood vessel tissues. More precisely, its application can lead the process not only for error-free infusion of a needle to the patients but also localization of abdominal bleeding, stroke-inducing clots in the vein are the name of few.
format	Article
author	Ahmed, Kazi Istiaque Habaebi, Mohamed Hadi Islam, Md. Rafiqul
author_facet	Ahmed, Kazi Istiaque Habaebi, Mohamed Hadi Islam, Md. Rafiqul
author_sort	Ahmed, Kazi Istiaque
title	Enhanced vein detection from video sequences
title_short	Enhanced vein detection from video sequences
title_full	Enhanced vein detection from video sequences
title_fullStr	Enhanced vein detection from video sequences
title_full_unstemmed	Enhanced vein detection from video sequences
title_sort	enhanced vein detection from video sequences
publisher	Institute of Advanced Engineering and Science (IAES) Indonesia
publishDate	2017
url	http://irep.iium.edu.my/60024/ http://irep.iium.edu.my/60024/ http://irep.iium.edu.my/60024/ http://irep.iium.edu.my/60024/1/10011-12425-1-PB.pdf http://irep.iium.edu.my/60024/7/Enhanced%20vein%20detection%20from%20video%20sequences.pdf
first_indexed	2023-09-18T21:25:05Z
last_indexed	2023-09-18T21:25:05Z
_version_	1777412137770024960

Enhanced vein detection from video sequences

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