计算机科学 ›› 2018, Vol. 45 ›› Issue (8): 264-267.doi: 10.11896/j.issn.1002-137X.2018.08.047

• 图形图像与模式识别 • 上一篇    下一篇

基于最大内切圆算法的手掌静脉ROI提取

刘刚, 张晶, 李月龙   

  1. 天津工业大学计算机科学与软件学院 天津300387
  • 收稿日期:2017-05-25 出版日期:2018-08-29 发布日期:2018-08-29
  • 作者简介:刘 刚(1992-),男,硕士生,主要研究方向为图像处理、模式识别,E-mail:1912830275@qq.com; 张 晶(1975-),女,博士,副教授,主要研究方向为嵌入式技术、虚拟仿真、人工智能,E-mail:China_ximeng@sohu.com(通信作者); 李月龙(1982-),男,博士,副教授,主要研究方向为图像合成、轮廓模型、机器学习。
  • 基金资助:
    本文受中国博士后科学基金(2015M570228)资助。

Extraction of Palm Vein ROI Based on Maximal Inscribed Circle Algorithm

LIU Gang, ZHANG Jing, LI Yue-long   

  1. School of Computer Science and Software,Tianjin Polytechnic University,Tianjin 300387,China
  • Received:2017-05-25 Online:2018-08-29 Published:2018-08-29

摘要: 针对手掌静脉图像感兴趣区域提取中信息清晰度低、丰富程度低的问题,提出一种基于最大内切圆提取的算法。对手掌静脉原始图像进行预处理并添加区域网格线,先以网格线为参考,缩小圆心的检索区域范围,从而简化圆心的定义过程;然后设置初始半径,再以一个网格宽度为变量,增加半径,最终确定最大内切圆。结果表明,所提算法在清晰度和信息丰富度上分别提高了0.0102和0.0121,提取出的ROI图像在迭代训练中的迭代次数降低了200次。针对4组图像,所提算法的执行时间分别降低了10.7ms,10.2ms,11.3ms,10.8ms。

关键词: 感兴趣区域, 手掌静脉, 提取, 最大内切圆

Abstract: Aiming at the problem that the information clarity and richness are low for extracting palm vein image,the algorithm based on the maximum inscribed circle extraction was proposed for the region of interest.The original image of palm vein is pretreated and regional grid line is added.First,the grid line is used as a reference to narrow the search area of the center of circle,thereby it can simplify the definition process of the center of circle.Then the initial radius is set and grid width is used as a variable to increase the radius.Finally,the maximum inscribed circle is determined.The results show that the improved algorithm improves the clarity and information richness by an average of 0.0102 and 0.0121 respectively.Iteration times of extracting ROI images are reduced by 200 in iterative training.For the four sets of images,the execution time of the improved algorithm is reduced by 10.7ms,10.2ms,11.3ms and 10.8ms respectively.

Key words: Extraction, Maximum inscribed circle, Palm vein, Region of interest

中图分类号: 

  • TP391
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