Grayscale and Binary Image Enhancement of Hand Vein Images to Aid Peripheral Intravenous Access

Difficulty in achieving a peripheral intravenous (IV) access in pediatric and some adult’s patient is a clinical problem. The use of near-infrared imaging device to aid visualization of an IV access usually suffers from low contrast and noise due to nonillumination and thickness of hand skin. This...

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Main Authors:	Marlina, Yakno, Junita, Mohd Saleh, Bakhtiar, Affendi Rosdi
Format:	Book Section
Language:	English
Published:	INASE 2015
Subjects:	TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://umpir.ump.edu.my/id/eprint/9289/ http://umpir.ump.edu.my/id/eprint/9289/ http://umpir.ump.edu.my/id/eprint/9289/1/Grayscale%20and%20binary%20image%20enhancement%20of%20hand%20vein%20images%20to%20aid%20peripheral%20intravenous%20access.pdf

id	ump-9289
recordtype	eprints
spelling	ump-92892018-05-22T05:12:44Z http://umpir.ump.edu.my/id/eprint/9289/ Grayscale and Binary Image Enhancement of Hand Vein Images to Aid Peripheral Intravenous Access Marlina, Yakno Junita, Mohd Saleh Bakhtiar, Affendi Rosdi TK Electrical engineering. Electronics Nuclear engineering Difficulty in achieving a peripheral intravenous (IV) access in pediatric and some adult’s patient is a clinical problem. The use of near-infrared imaging device to aid visualization of an IV access usually suffers from low contrast and noise due to nonillumination and thickness of hand skin. This further complicates subsequent processing such as image segmentation. In this work, two methods are proposed in two different stages; grayscale enhancement and binary enhancement for correction of low contrast and noisy images. For grayscale enhancement, a combination of histogrambased and fuzzy-based contrast enhancement algorithms are applied on hand vein images. For binary enhancement, a combination of three techniques; Artificial Neural Network pixel corrector, Binary Median Filter and Massive Noise Removal, are applied on the binary hand vein images. Comparative analysis on test images using different contrast enhancement methods has shown superior results from the proposed method in comparison to its counterparts. INASE 2015 Book Section PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/9289/1/Grayscale%20and%20binary%20image%20enhancement%20of%20hand%20vein%20images%20to%20aid%20peripheral%20intravenous%20access.pdf Marlina, Yakno and Junita, Mohd Saleh and Bakhtiar, Affendi Rosdi (2015) Grayscale and Binary Image Enhancement of Hand Vein Images to Aid Peripheral Intravenous Access. In: New Developments In Biology, Biomedical & Chemical Engineering And Materials Science. Recent Advances in Biology and Biomedicine Series (8). INASE, Austria, pp. 60-67. ISBN 978-1-61804-284-2 http://www.inase.org/library/2015/vienna/bypaper/BICHE/BICHE-09.pdf
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	TK Electrical engineering. Electronics Nuclear engineering
spellingShingle	TK Electrical engineering. Electronics Nuclear engineering Marlina, Yakno Junita, Mohd Saleh Bakhtiar, Affendi Rosdi Grayscale and Binary Image Enhancement of Hand Vein Images to Aid Peripheral Intravenous Access
description	Difficulty in achieving a peripheral intravenous (IV) access in pediatric and some adult’s patient is a clinical problem. The use of near-infrared imaging device to aid visualization of an IV access usually suffers from low contrast and noise due to nonillumination and thickness of hand skin. This further complicates subsequent processing such as image segmentation. In this work, two methods are proposed in two different stages; grayscale enhancement and binary enhancement for correction of low contrast and noisy images. For grayscale enhancement, a combination of histogrambased and fuzzy-based contrast enhancement algorithms are applied on hand vein images. For binary enhancement, a combination of three techniques; Artificial Neural Network pixel corrector, Binary Median Filter and Massive Noise Removal, are applied on the binary hand vein images. Comparative analysis on test images using different contrast enhancement methods has shown superior results from the proposed method in comparison to its counterparts.
format	Book Section
author	Marlina, Yakno Junita, Mohd Saleh Bakhtiar, Affendi Rosdi
author_facet	Marlina, Yakno Junita, Mohd Saleh Bakhtiar, Affendi Rosdi
author_sort	Marlina, Yakno
title	Grayscale and Binary Image Enhancement of Hand Vein Images to Aid Peripheral Intravenous Access
title_short	Grayscale and Binary Image Enhancement of Hand Vein Images to Aid Peripheral Intravenous Access
title_full	Grayscale and Binary Image Enhancement of Hand Vein Images to Aid Peripheral Intravenous Access
title_fullStr	Grayscale and Binary Image Enhancement of Hand Vein Images to Aid Peripheral Intravenous Access
title_full_unstemmed	Grayscale and Binary Image Enhancement of Hand Vein Images to Aid Peripheral Intravenous Access
title_sort	grayscale and binary image enhancement of hand vein images to aid peripheral intravenous access
publisher	INASE
publishDate	2015
url	http://umpir.ump.edu.my/id/eprint/9289/ http://umpir.ump.edu.my/id/eprint/9289/ http://umpir.ump.edu.my/id/eprint/9289/1/Grayscale%20and%20binary%20image%20enhancement%20of%20hand%20vein%20images%20to%20aid%20peripheral%20intravenous%20access.pdf
first_indexed	2023-09-18T22:07:42Z
last_indexed	2023-09-18T22:07:42Z
_version_	1777414819503144960

Grayscale and Binary Image Enhancement of Hand Vein Images to Aid Peripheral Intravenous Access

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