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...
| Main Authors: | , , |
|---|---|
| Format: | Book Chapter |
| Language: | English |
| Published: |
INASE
2015
|
| Subjects: | |
| Online Access: | 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 |
| _version_ | 1848818453473918976 |
|---|---|
| author | Marlina, Yakno Junita, Mohd Saleh Bakhtiar, Affendi Rosdi |
| author_facet | Marlina, Yakno Junita, Mohd Saleh Bakhtiar, Affendi Rosdi |
| author_sort | Marlina, Yakno |
| building | UMP Institutional Repository |
| collection | Online 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. |
| first_indexed | 2025-11-15T01:37:54Z |
| format | Book Chapter |
| id | ump-9289 |
| institution | Universiti Malaysia Pahang |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T01:37:54Z |
| publishDate | 2015 |
| publisher | INASE |
| recordtype | eprints |
| repository_type | Digital Repository |
| 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 Chapter 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 |
| 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 |
| title | 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_short | 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 |
| topic | TK Electrical engineering. Electronics Nuclear engineering |
| 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 |