@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",
}