Enhanced vein detection from video sequences

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

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Abstract

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.

Item Type:	Article (Journal)
Additional Information:	6727/60024
Uncontrolled Keywords:	Vein Detection, IR Night Vision, CLAHE, Infusion of Needle, Video
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Engineering > Department of Electrical and Computer Engineering
Depositing User:	Dr. Mohamed Hadi Habaebi
Date Deposited:	13 Dec 2017 16:28
Last Modified:	15 Jan 2018 10:53
URI:	http://irep.iium.edu.my/id/eprint/60024

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