基于双波长的手部红外静脉图像增强算法研究  

Research on Hand Infrared Vein Image Enhancement Algorithm Based on Dual-wavelength

作　　者：鄢圣玥 陈森森 YAN Shengyue;CHEN Sensen(Wuhan University of Technology,Wuhan 430070,China)

机构地区：[1]武汉理工大学,湖北武汉430070

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)。

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.

关 键 词：双波长 手部静脉 图像增强 红外成像 

分 类 号：TP391.4[自动化与计算机技术—计算机应用技术]