[1]王科俊,刘靖宇,马慧,等.手指静脉图像质量评价[J].智能系统学报,2011,6(4):324-327.
WANG Kejun,LIU Jingyu,MA Hui,et al.A finger vein image quality assessment method[J].CAAI Transactions on Intelligent Systems,2011,6(4):324-327.
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WANG Kejun,LIU Jingyu,MA Hui,et al.A finger vein image quality assessment method[J].CAAI Transactions on Intelligent Systems,2011,6(4):324-327.
手指静脉图像质量评价
《智能系统学报》[ISSN 1673-4785/CN 23-1538/TP] 卷:
6
期数:
2011年第4期
页码:
324-327
栏目:
学术论文—人工智能基础
出版日期:
2011-08-25
- Title:
- A finger vein image quality assessment method
- 文章编号:
- 1673-4785(2011)04-0324-04
- Keywords:
- vein images; image quality assessment; effective region; contrast; position offset; ambiguity; information entropy
- 分类号:
- TP391.41
- 文献标志码:
- A
- 摘要:
- 根据手指静脉图像本身的特征，首次提出了手指静脉图像质量评价方法.在分析人类视觉系统(HVS)性能的基础上，将图像有效区域、对比度、位置偏移度、模糊度、信息熵作为评价手指静脉图像质量的参数.并综合分析这些参数，加权获得静脉图像总质量评价函数.实验表明，得到了与主观评价结果相一致的客观评价值.
- Abstract:
- According to the features of finger vein images, a new evaluation method of image quality was proposed in this paper. On the basis of the analysis of the Human Visual System (HVS) function, the image properties such as effective region, image contrast, position offset, fuzzy degree, and information entropy were utilized as the parameters of finger vein image quality assessment. Then an evaluation function of vein image quality was obtained through comprehensive analysis and weighting of those parameters. The experimental results show that the objective evaluation value is in accordance with the subjective evaluation value.
- 参考文献/References:
-
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备注/Memo
收稿日期： 2010-10-09.
基金项目：国家“863”计划资助项目（2006AA04Z248）；国家自然科学基金资助项目(60975022).
通信作者：王科俊.E-mail:heukejun@shou.com.
作者简介：
王科俊，男，1962年生，教授，博士生导师，博士.模式识别与智能系统学科带头人.主要研究方向为模糊混沌神经网络、自适应逆控制理论、可拓控制、网络智能控制、模式识别、多模态生物特征识别、联脱机指纹考试身份鉴别系统、微小型机器人系统.发表学术论文180余篇，出版学术专著3部，国防教材1部，主审教材2部.
刘靖宇，女，1982年生，博士研究生，主要研究方向为模式识别、生物特征识别.申请专利3项，已录用学术论文3篇.
更新日期/Last Update:
2011-09-30