摘要
本文以实现静脉可视化、提高静脉穿刺成功率为目的,根据近红外光被血液吸收而被其他人体组织散射的特性,采用光学传感器采集包含人体静脉信息的图像。以此利用OpenCV通过一系列算法进行图像处理,获取摄像头摄像区域的静脉信息,实现非接触式静脉成像功能,完成嵌入式静脉成像仪的设计。
This paper aims to achieve visualization of veins and improve the success rate of venipuncture. According to the characteristics of near-infrared light being absorbed by blood and scattered by other human tissues, an optical sensor is used to collect images containing human veininformation. In this way, OpenCV is used for image processing through a series of algorithms to obtain the vein information of the camera's imaging area,realize the non-contact vein imaging function, and complete the design of the embedded vein imager.
作者
刘楠
饶晶晶
钟卫帅
程铁栋
LIU Nan;RAO Jing-jing;ZHONG Wei-shuai;CHENG Tie-dong(College of Electrical Engineering and Automation, Jiangxi University of Science and Technology, Ganzhou Jiangxi 341000)
出处
《数字技术与应用》
2018年第3期163-163,165,共2页
Digital Technology & Application