Image fusion algorithm for vein enhance display

被引：0
作者：
Di, Si [1 ,2 ]
Jin, Jian [1 ]
Chen, Xian-Shuai [1 ]
机构：
[1] Guangzhou Institute of Advanced Technology, Chinese Academy of Sciences, Guangzhou
[2] Shenzhen Institute of Advanced Technology, Shenzhen
来源：
Guangxue Jingmi Gongcheng/Optics and Precision Engineering | 2015年 / 23卷
关键词：
Bilateral filter; Histogram mapping; Image fusion; Principal component analysis; Vein display;
D O I：
10.3788/OPE.20152313.0540
中图分类号：
学科分类号：
摘要：
The existing subcutaneous vein display system usually uses a near infrared image to outstand vein distribution. However, it may loss the true color and detail feature of human skin. To solve the problem, a probable method is proposed to capture the infrared image and color image at the same time and to fuse the two images. This paper proposes a new image fusion algorithm related to the best mapping of histogram, Principal Component Analysis (PCA) and image bilateral filtering. The fusion experiments are performed by proposed method, and the final fusion image shows that it can display the vein distribution clearly and keep the epidermis color and detail features unchanged. Through the calculation, the average correlation coefficient, average gradient and the average spectral distortion to original color image are 0.8431, 1.730 and 8.6429 respectively. The results show that the proposed fusion algorithm is better than several other algorithms. It concludes that the proposed algorithm has an important application value in the field of vein display of the human body. © 2015, Chinese Academy of Sciences. All right reserved.
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页码：540 / 545
页数：5
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