Low cost blood vein detection system based on near-infrared LEDs and image-processing techniques

Author:

Alwazzan Mohammed J.1

Affiliation:

1. Department of Medical Instrumentation Techniques Engineering , AL-Hussain University College , Karbala , Iraq

Abstract

Abstract Drawing blood and injecting drugs are common medical procedures, for which accurate identification of veins is needed to avoid causing unnecessary pain. In this paper, we propose a low-cost system for the detection of veins. The system emits near-infrared radiation from four light-emitting diodes (LEDs), with a charge-coupled device (CCD) camera located in the middle of the LEDs. The camera captures an image of the palm of the hand. A series of digital image-processing techniques, ranging from image enhancement and increased contrast to isolation using a threshold limit based on statistical properties, are applied to effectively isolate the veins from the rest of the image.

Publisher

Walter de Gruyter GmbH

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Innovative use of tangential light for easy venesection;Cosmoderma;2024-07-30

2. Difficult venesections: An easy solution;Journal of Cutaneous and Aesthetic Surgery;2023-08-04

3. Near Infrared Illumination Optimization for Vein Detection: Hardware and Software Approaches;Applied Sciences;2022-11-04

4. Teletıp İçin Artırılmış Gerçeklik Destekli Ön-Teşhis Ortamı: Yüzeysel Damar Takip Sistemi;European Journal of Science and Technology;2022-08-02

5. A low-cost gliding arc reverse vortex flow plasma system for laboratory purposes;1ST SAMARRA INTERNATIONAL CONFERENCE FOR PURE AND APPLIED SCIENCES (SICPS2021): SICPS2021;2022

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3