Extraction of Forearm Near-Infrared Vascular Skeleton Based on Zhang-Suen Refinement Algorithm

Qianru Ji; Haoting Liu; Zhen Tian; Song Wang; Qing Li; Dewei Yi

doi:10.1007/978-981-97-7139-4_64

Extraction of Forearm Near-Infrared Vascular Skeleton Based on Zhang-Suen Refinement Algorithm

Qianru Ji
, Haoting Liu^*
, Zhen Tian
, Song Wang
, Qing Li
, Dewei Yi

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Published conference contribution

Abstract

Vascular skeleton extraction is one of the key steps in medical image analysis. However, during the acquisition process of forearm near-infrared vascular images, due to external factors, they are not clear enough, resulting in inaccurate extraction of vascular skeletons. After preprocessing the initial image, this paper uses the Zhang-Suen refinement algorithm to extract the forearm near-infrared vascular skeleton. This algorithm is an iterative algorithm that can accurately refine the object boundaries in an image into a pixel wide skeleton. The experimental results show that compared to other skeleton extraction algorithms, the Zhang-Suen refinement algorithm obtains smoother, more accurate, and clearer vascular skeletons.

Original language	English
Title of host publication	Man-Machine-Environment System Engineering - Proceedings of the 24th Conference on MMESE
Editors	Shengzhao Long, Balbir S. Dhillon, Long Ye
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	469-473
Number of pages	5
ISBN (Print)	9789819771387
DOIs	https://doi.org/10.1007/978-981-97-7139-4_64
Publication status	Published - 29 Sept 2024
Event	24th Conference on Man-Machine-Environment System Engineering, MMESE 2024 - Beijing, China Duration: 18 Oct 2024 → 20 Oct 2024

Publication series

Name	Lecture Notes in Electrical Engineering
Volume	1256 LNEE
ISSN (Print)	1876-1100
ISSN (Electronic)	1876-1119

Conference

Conference	24th Conference on Man-Machine-Environment System Engineering, MMESE 2024
Country/Territory	China
City	Beijing
Period	18/10/24 → 20/10/24

Funding

This work was funded by the National Natural Science Foundation of China under Grant 62373042, the Fund of Science and Technology on Near-Surface Detection Laboratory under Grant 6142414221403, the Guangdong Basic and Applied Basic Research Foundation under Grant 2023A1515010275, the Foundation of National Key Laboratory of Human Factors Engineering under Grant No. HFNKL2023WW11, and the Fundamental Research Fund for the China Central Universities of USTB under Grant FRF-BD-19-002A.

Funders	Funder number
National Natural Science Foundation of China	62373042, 6142414221403, FRF-BD-19-002A
Guangdong Basic and Applied Basic Research Foundation	2023A1515010275

Keywords

Near-infrared image
Skeleton extraction
Zhang-Suen refinement algorithm

Access to Document

10.1007/978-981-97-7139-4_64Licence: Unspecified

Cite this

Ji, Q., Liu, H., Tian, Z., Wang, S., Li, Q., & Yi, D. (2024). Extraction of Forearm Near-Infrared Vascular Skeleton Based on Zhang-Suen Refinement Algorithm. In S. Long, B. S. Dhillon, & L. Ye (Eds.), Man-Machine-Environment System Engineering - Proceedings of the 24th Conference on MMESE (pp. 469-473). (Lecture Notes in Electrical Engineering; Vol. 1256 LNEE). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-981-97-7139-4_64

Extraction of Forearm Near-Infrared Vascular Skeleton Based on Zhang-Suen Refinement Algorithm. / Ji, Qianru; Liu, Haoting; Tian, Zhen et al.
Man-Machine-Environment System Engineering - Proceedings of the 24th Conference on MMESE. ed. / Shengzhao Long; Balbir S. Dhillon; Long Ye. Springer Science and Business Media Deutschland GmbH, 2024. p. 469-473 (Lecture Notes in Electrical Engineering; Vol. 1256 LNEE).

Research output: Chapter in Book/Report/Conference proceeding › Published conference contribution

Ji, Q, Liu, H, Tian, Z, Wang, S, Li, Q & Yi, D 2024, Extraction of Forearm Near-Infrared Vascular Skeleton Based on Zhang-Suen Refinement Algorithm. in S Long, BS Dhillon & L Ye (eds), Man-Machine-Environment System Engineering - Proceedings of the 24th Conference on MMESE. Lecture Notes in Electrical Engineering, vol. 1256 LNEE, Springer Science and Business Media Deutschland GmbH, pp. 469-473, 24th Conference on Man-Machine-Environment System Engineering, MMESE 2024, Beijing, China, 18/10/24. https://doi.org/10.1007/978-981-97-7139-4_64

Ji Q, Liu H, Tian Z, Wang S, Li Q, Yi D. Extraction of Forearm Near-Infrared Vascular Skeleton Based on Zhang-Suen Refinement Algorithm. In Long S, Dhillon BS, Ye L, editors, Man-Machine-Environment System Engineering - Proceedings of the 24th Conference on MMESE. Springer Science and Business Media Deutschland GmbH. 2024. p. 469-473. (Lecture Notes in Electrical Engineering). doi: 10.1007/978-981-97-7139-4_64

Ji, Qianru ; Liu, Haoting ; Tian, Zhen et al. / Extraction of Forearm Near-Infrared Vascular Skeleton Based on Zhang-Suen Refinement Algorithm. Man-Machine-Environment System Engineering - Proceedings of the 24th Conference on MMESE. editor / Shengzhao Long ; Balbir S. Dhillon ; Long Ye. Springer Science and Business Media Deutschland GmbH, 2024. pp. 469-473 (Lecture Notes in Electrical Engineering).

@inproceedings{c2179f97d1b2402a874285b10aacdefc,

title = "Extraction of Forearm Near-Infrared Vascular Skeleton Based on Zhang-Suen Refinement Algorithm",

abstract = "Vascular skeleton extraction is one of the key steps in medical image analysis. However, during the acquisition process of forearm near-infrared vascular images, due to external factors, they are not clear enough, resulting in inaccurate extraction of vascular skeletons. After preprocessing the initial image, this paper uses the Zhang-Suen refinement algorithm to extract the forearm near-infrared vascular skeleton. This algorithm is an iterative algorithm that can accurately refine the object boundaries in an image into a pixel wide skeleton. The experimental results show that compared to other skeleton extraction algorithms, the Zhang-Suen refinement algorithm obtains smoother, more accurate, and clearer vascular skeletons.",

keywords = "Near-infrared image, Skeleton extraction, Zhang-Suen refinement algorithm",

author = "Qianru Ji and Haoting Liu and Zhen Tian and Song Wang and Qing Li and Dewei Yi",

year = "2024",

month = sep,

day = "29",

doi = "10.1007/978-981-97-7139-4\_64",

language = "English",

isbn = "9789819771387",

series = "Lecture Notes in Electrical Engineering",

publisher = "Springer Science and Business Media Deutschland GmbH",

pages = "469--473",

editor = "Shengzhao Long and Dhillon, \{Balbir S.\} and Long Ye",

booktitle = "Man-Machine-Environment System Engineering - Proceedings of the 24th Conference on MMESE",

address = "Germany",

note = "24th Conference on Man-Machine-Environment System Engineering, MMESE 2024 ; Conference date: 18-10-2024 Through 20-10-2024",

}

TY - GEN

T1 - Extraction of Forearm Near-Infrared Vascular Skeleton Based on Zhang-Suen Refinement Algorithm

AU - Ji, Qianru

AU - Liu, Haoting

AU - Tian, Zhen

AU - Wang, Song

AU - Li, Qing

AU - Yi, Dewei

PY - 2024/9/29

Y1 - 2024/9/29

N2 - Vascular skeleton extraction is one of the key steps in medical image analysis. However, during the acquisition process of forearm near-infrared vascular images, due to external factors, they are not clear enough, resulting in inaccurate extraction of vascular skeletons. After preprocessing the initial image, this paper uses the Zhang-Suen refinement algorithm to extract the forearm near-infrared vascular skeleton. This algorithm is an iterative algorithm that can accurately refine the object boundaries in an image into a pixel wide skeleton. The experimental results show that compared to other skeleton extraction algorithms, the Zhang-Suen refinement algorithm obtains smoother, more accurate, and clearer vascular skeletons.

AB - Vascular skeleton extraction is one of the key steps in medical image analysis. However, during the acquisition process of forearm near-infrared vascular images, due to external factors, they are not clear enough, resulting in inaccurate extraction of vascular skeletons. After preprocessing the initial image, this paper uses the Zhang-Suen refinement algorithm to extract the forearm near-infrared vascular skeleton. This algorithm is an iterative algorithm that can accurately refine the object boundaries in an image into a pixel wide skeleton. The experimental results show that compared to other skeleton extraction algorithms, the Zhang-Suen refinement algorithm obtains smoother, more accurate, and clearer vascular skeletons.

KW - Near-infrared image

KW - Skeleton extraction

KW - Zhang-Suen refinement algorithm

UR - https://www.scopus.com/pages/publications/85206170790

U2 - 10.1007/978-981-97-7139-4_64

DO - 10.1007/978-981-97-7139-4_64

M3 - Published conference contribution

AN - SCOPUS:85206170790

SN - 9789819771387

T3 - Lecture Notes in Electrical Engineering

SP - 469

EP - 473

BT - Man-Machine-Environment System Engineering - Proceedings of the 24th Conference on MMESE

A2 - Long, Shengzhao

A2 - Dhillon, Balbir S.

A2 - Ye, Long

PB - Springer Science and Business Media Deutschland GmbH

T2 - 24th Conference on Man-Machine-Environment System Engineering, MMESE 2024

Y2 - 18 October 2024 through 20 October 2024

ER -

Extraction of Forearm Near-Infrared Vascular Skeleton Based on Zhang-Suen Refinement Algorithm

Abstract

Publication series

Conference

Funding

Keywords

Access to Document

Other files and links

Fingerprint

Cite this