近红外静脉图像可视化算法  

Near Infrared Vein Image Feature Visualization Algorithm

作　　者：李世银[1] 随秀玲 王雪城 聂余满[2] 

机构地区：[1]中国矿业大学信息与电气工程学院,江苏徐州221116 [2]中国科学院合肥智能机械研究所,安徽合肥230031

出　　处：《电视技术》2015年第17期35-37,共3页Video Engineering

基　　金：江苏省科技支撑计划项目(BE2014045)

摘　　要：目前的静脉访问辅助设备通常利用近红外成像技术采集静脉图像。在直方图均衡化增强静脉图像的基础上,针对手背静脉穿刺辅助装置的实时性要求,提出按键触发检测的方式来实现静脉血管宽度可视化算法。该算法在医护领域进行实际系统的临床应用,可有效提高静脉访问成功率、减轻医护人员工作难度并造福病人。Venous access auxiliary, equipment usually use the near infrared imaging to capture the vein image currently. For user convenience,real-time processing is required from auxiliary puncturing equipment. To solve this problem, the papers presents an infrared-light-camera device to obtain real-time infrared images of widths of intravenous veins on the back of hands with histogram equalization to enhance the quality of vein images. The clinical application in health care shows that the algorithm is beneficial to increase the success rate of venous access and beneficial to patients,reducing the difficulty of staff work.

关 键 词：静脉访问 感兴趣区域 静脉宽度 

分 类 号：TP391.4[自动化与计算机技术—计算机应用技术]