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 proceedingPublished 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 languageEnglish
Title of host publicationMan-Machine-Environment System Engineering - Proceedings of the 24th Conference on MMESE
EditorsShengzhao Long, Balbir S. Dhillon, Long Ye
PublisherSpringer Science and Business Media Deutschland GmbH
Pages469-473
Number of pages5
ISBN (Print)9789819771387
DOIs
Publication statusPublished - 29 Sept 2024
Event24th Conference on Man-Machine-Environment System Engineering, MMESE 2024 - Beijing, China
Duration: 18 Oct 202420 Oct 2024

Publication series

NameLecture Notes in Electrical Engineering
Volume1256 LNEE
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119

Conference

Conference24th Conference on Man-Machine-Environment System Engineering, MMESE 2024
Country/TerritoryChina
CityBeijing
Period18/10/2420/10/24

Keywords

  • Near-infrared image
  • Skeleton extraction
  • Zhang-Suen refinement algorithm

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