电子学报 ›› 2015, Vol. 43 ›› Issue (2): 236-241.DOI: 10.3969/j.issn.0372-2112.2015.02.005

• 学术论文 • 上一篇    下一篇

基于无参考质量评价模型的静脉图像采集方法

贾旭1, 曹玉东1, 孙福明1, 崔建江2, 薛定宇2   

  1. 1. 辽宁工业大学电子与信息工程学院, 辽宁锦州 121001;
    2. 东北大学信息科学与工程学院, 辽宁沈阳 110819
  • 收稿日期:2013-10-28 修回日期:2014-08-14 出版日期:2015-02-25
  • 通讯作者: 贾旭
  • 作者简介:曹玉东 男,辽宁昌图人,2011年7月毕业于北京邮电大学信号与信息处理专业,获工学博士学位.目前工作于辽宁工业大学电子与信息工程学院,副教授.主要研究方向为图像处理.
  • 基金资助:

    辽宁省教育厅一般项目(No.L2013241); 国家自然科学基金(No.61272214)

Vein Image Acquisition Method Based on Quality Assessment Model Without Reference

JIA Xu1, CAO Yu-dong1, SUN Fu-ming1, CUI Jian-jiang2, XUE Ding-yu2   

  1. 1. School of Electronics and Information Engineering, Liaoning University of Technology, Jinzhou, Liaoning 121001, China;
    2. College of Information Science and Engineering, Northeastern University, Shenyang, Liaoning 110819, China
  • Received:2013-10-28 Revised:2014-08-14 Online:2015-02-25 Published:2015-02-25

摘要:

由于不同人的手背静脉属性间存在较大差异,因此对于不同静脉对象,在固定采集系统参数条件下很难都采集到高质量的静脉图像,这里提出了一种针对静脉特点的质量评价模型,并设计了基于评价结果的自寻优静脉图像采集方法.首先,提出了基于关键信息熵的测度函数,衡量了静脉信息的完整性;其次,提出了基于轮廓波分解的测度函数,用于评价静脉方向性信息的丰富性;再次,将两种测度函数融合,构成了客观的无参考的质量评价模型;最后,在图像自寻优过程中,提出了迭代淘汰机制,克服了最速下降法在寻优过程易陷入局部最优的缺陷.实验表明,提出的质量评价模型是可控的,且满足人眼视觉系统的视觉特性,同时,通过提出的迭代淘汰机制,降低了寻优过程的迭代次数,保证了采集系统的实时性要求.

关键词: 静脉采集, 质量评价, 最速下降法, 轮廓波分解

Abstract:

Because of dorsal vein properties difference between different persons,for different vein objects not all vein images with high qualities can be acquired when fixing acquisition system parameters,in the paper a new image quality assessment model is proposed according to vein characteristics,moreover,vein image can be acquired through self optimization based on assessment result.First,a measure function based on key information entropy is proposed,which measures vein information completeness;Second,another measure function based on Contourlet decomposition is proposed,which is used to judge whether vein directional information is rich or not;Third,the objective vein image quality assessment model without reference is formed by fusing the two measure functions.In final,iteration elimination method is proposed in order to overcome the defect of steepest descent method,which is easy to fall into local optimum during optimization process.Experiments show the proposed quality assessment model is controllable and can meet the characteristics of human visual system,in the meantime the number of iterations can be reduced effectively through the proposed iteration elimination method,and the real-time requirement of acquisition system can be ensured.

Key words: vein acquisition, quality assessment, steepest descent method, contourlet decomposition

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