Grayscale and binary enhancement of dorsal hand vein images

Difficulty in achieving a peripheral intravenous (IV) access in pediatric and some adult patients is a clinical problem. These difficulties may lead to some negative impacts such as fainting, hematoma and pain associated with multiples punctures. The use of near-infrared imaging device to aid visual...

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Main Authors:	Marlina, Yakno, Junita, Mohd Saleh, Bakhtiar, Affendi Rosdi
Format:	Article
Language:	English
Published:	North Atlantic University Union 2017
Subjects:	TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://umpir.ump.edu.my/id/eprint/27005/ http://umpir.ump.edu.my/id/eprint/27005/ http://umpir.ump.edu.my/id/eprint/27005/1/Grayscale%20and%20binary%20enhancement%20of%20dorsal%20hand%20vein%20images.pdf

id	ump-27005
recordtype	eprints
spelling	ump-270052020-03-10T08:46:39Z http://umpir.ump.edu.my/id/eprint/27005/ Grayscale and binary enhancement of dorsal hand vein images 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 patients is a clinical problem. These difficulties may lead to some negative impacts such as fainting, hematoma and pain associated with multiples punctures. The use of near-infrared imaging device to aid visualization of an IV access usually suffers from low contrast and noise due to non-illumination 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 histogram-based 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 the proposed different contrast enhancement methods has shown superior results in comparison to its counterparts. North Atlantic University Union 2017 Article PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/27005/1/Grayscale%20and%20binary%20enhancement%20of%20dorsal%20hand%20vein%20images.pdf Marlina, Yakno and Junita, Mohd Saleh and Bakhtiar, Affendi Rosdi (2017) Grayscale and binary enhancement of dorsal hand vein images. International Journal of Circuits, Systems and Signal Processing, 11. pp. 129-141. ISSN 1998-4464 http://www.naun.org/main/NAUN/circuitssystemssignal/2017/a342005-abk.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 enhancement of dorsal hand vein images
description	Difficulty in achieving a peripheral intravenous (IV) access in pediatric and some adult patients is a clinical problem. These difficulties may lead to some negative impacts such as fainting, hematoma and pain associated with multiples punctures. The use of near-infrared imaging device to aid visualization of an IV access usually suffers from low contrast and noise due to non-illumination 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 histogram-based 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 the proposed different contrast enhancement methods has shown superior results in comparison to its counterparts.
format	Article
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 enhancement of dorsal hand vein images
title_short	Grayscale and binary enhancement of dorsal hand vein images
title_full	Grayscale and binary enhancement of dorsal hand vein images
title_fullStr	Grayscale and binary enhancement of dorsal hand vein images
title_full_unstemmed	Grayscale and binary enhancement of dorsal hand vein images
title_sort	grayscale and binary enhancement of dorsal hand vein images
publisher	North Atlantic University Union
publishDate	2017
url	http://umpir.ump.edu.my/id/eprint/27005/ http://umpir.ump.edu.my/id/eprint/27005/ http://umpir.ump.edu.my/id/eprint/27005/1/Grayscale%20and%20binary%20enhancement%20of%20dorsal%20hand%20vein%20images.pdf
first_indexed	2023-09-18T22:42:22Z
last_indexed	2023-09-18T22:42:22Z
_version_	1777416999646789632

Grayscale and binary enhancement of dorsal hand vein images

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