摘要
针对临床中大多数手部红外静脉图像增强算法存在成像质量差、成像过程中容易断点而无法连续高质量成像的问题,文章在已有AGC和Frangi算法的基础上,设计一种基于双波长的手部红外静脉图像增强算法,该算法能够有效解决单一的AGC和Frangi算法在图像成像上不连续、图像成像质量差的问题。在对不同波长进行测试后,采用波长为850 nm+940 nm的红外光照射获得原始静脉图像,可提高红外静脉图像增强算法的性能,对提高红外静脉图像产品的临床应用效果具有重要价值。
In view of the problems of poor imaging quality,it is easy to break points in the imaging process and cannot continuously high-quality imaging in most of the hand infrared vein image enhancement algorithms in clinical practice,on the basis of the existing AGC and Frangi algorithms,this paper designs a hand infrared vein image enhancement algorithm based on dual-wavelength.This algorithm can effectively solve the problems of image's imaging discontinuity and poor imaging quality of a single AGC and Frangi algorithm.After testing different wavelengths,the original vein image is obtained by infrared irradiation with wavelength of 850 nm+940 nm,which can improve the performance of infrared vein image enhancement algorithm and has important value for improving the clinical application effect of infrared vein image products.
作者
鄢圣玥
陈森森
YAN Shengyue;CHEN Sensen(Wuhan University of Technology,Wuhan 430070,China)
出处
《现代信息科技》
2023年第5期82-84,89,共4页
Modern Information Technology
基金
国家大学生创新创业训练计划(S202210497296)。
关键词
双波长
手部静脉
图像增强
红外成像
dual-wavelength
hand vein
image enhancement
infrared imaging
作者简介
鄢圣玥(2002.05—),女,汉族,湖北荆州人,本科在读,研究方向:电子科学与技术。
