Image fusion algorithm for vein enhance display

DI Si; JIN Jian; CHEN Xian-shuai

doi:10.3788/OPE.20152313.0540

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Image fusion algorithm for vein enhance display

更新时间：2020-08-13

- Image fusion algorithm for vein enhance display
- Optics and Precision Engineering Vol. 23, Issue 10z, Pages: 539-544(2015)
- 作者机构：
  
  1. 广州中国科学院先进技术研究所,广东广州,511458
  2. 深圳先进技术研究院,广东深圳,518055
- 作者简介：
- 基金信息：
- DOI：10.3788/OPE.20152313.0540
  CLC： R543;TP391.4
- Received：16 April 2015，
  
  Revised：19 May 2015，
  
  Published：14 November 2015
- 稿件说明：
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邸思, 金建, 陈贤帅. 用于静脉增强显示的图像融合算法[J]. 光学精密工程, 2015,23(10z): 539-544

DI Si, JIN Jian, CHEN Xian-shuai. Image fusion algorithm for vein enhance display[J]. Editorial Office of Optics and Precision Engineering, 2015,23(10z): 539-544
邸思, 金建, 陈贤帅. 用于静脉增强显示的图像融合算法[J]. 光学精密工程, 2015,23(10z): 539-544 DOI： 10.3788/OPE.20152313.0540.

DI Si, JIN Jian, CHEN Xian-shuai. Image fusion algorithm for vein enhance display[J]. Editorial Office of Optics and Precision Engineering, 2015,23(10z): 539-544 DOI： 10.3788/OPE.20152313.0540.

摘要

现有的静脉显示系统通常采用单纯的近红外图像凸显静脉分布

而这会丢失人体皮肤的真实色彩和细节特征。采用可见光和近红外双波段成像方式获取原始图像

并对人手部的近红外图像和彩色图像进行融合

可以提高显示效果。本文提出了一种结合直方图最值映射、主成分分析和双边滤波等技术的新的图像融合算法。应用该算法进行了融合测试

结果表明融合后的图像既能清晰显示静脉分布信息

又能基本保持背景部分的颜色与细节特征

显示效果优于其他几种典型的融合算法。计算显示

本算法与原始彩色图像的平均相关系数、平均梯度、平均光谱失真分别为0.8431

1.730

8.6429

这些结果均好于其他几种对比算法。实验显示

本文提出的融合算法在人体静脉显示方面具有重要的应用价值。

Abstract

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.

关键词

Keywords

references

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