计算机应用 ›› 2016, Vol. 36 ›› Issue (1): 238-242.DOI: 10.11772/j.issn.1001-9081.2016.01.0238

• 虚拟现实与数字媒体 • 上一篇    下一篇

快速线结构光中心提取算法

苏小勤1,2, 熊显名1,2   

  1. 1. 桂林电子科技大学 电子工程与自动化学院, 广西 桂林 541004;
    2. 广西高校光电信息处理重点实验室(桂林电子科技大学), 广西 桂林 541004
  • 收稿日期:2015-07-10 修回日期:2015-09-27 出版日期:2016-01-10 发布日期:2016-01-09
  • 通讯作者: 苏小勤(1990-),女,山东潍坊人,硕士研究生,主要研究方向:计算机视觉
  • 作者简介:熊显名(1964-),男,广西桂林人,研究员,主要研究方向:光电测试、计算机辅助测试、光学遥感测试。
  • 基金资助:
    广西自然科学基金资助项目(2014GXNSFGA118003,2013GXNSFDA019002);广西教育厅基金资助项目(ZD2014057);桂林市科学研究与技术开发课题项目(20130122-2,20140127-1)。

High-speed method for extracting center of line structured light

SU Xiaoqin1,2, XIONG Xianming1,2   

  1. 1. Institute of Electrical Engineering and Automation, Guilin University of Electronic Technology, Guilin Guangxi 541004, China;
    2. Guangxi Colleges and Universities Key Laboratory of Optoelectronic Information Processing, Guilin University of Electronic Technology, Guilin Guangxi 541004, China
  • Received:2015-07-10 Revised:2015-09-27 Online:2016-01-10 Published:2016-01-09
  • Supported by:
    This work is partially supported by Guangxi Natural Science Foundation of China (2014GXNSFGA118003, 2013GXNSFDA019002), the Science Foundation of Education Ministry of Guangxi (ZD2014057), Guilin Scientific Research and Technology Development Project (20130122-2, 20140127-1).

摘要: 在线结构光三维测量系统中,结构光中心提取的速度和精度直接影响到系统的整体性能。基于几何中心法、方向模板法和灰度重心法,提出了一种快速提取结构光中心的算法。首先,先对图像进行预处理,通过几何中心法快速提取结构光中心作为骨架;然后,提出了一种基于位置的法线判断法求取骨架法线方向,与常用的方向模板法比较,在速度上有了大幅度提升;最后,对骨架法线方向上像素进行灰度加权,从而精确提取结构光中心。实验结果表明,该算法不仅在速度上有很大提升,而且精度也达到了亚像素级别。

关键词: 图像处理, 中心提取, 几何中心法, 法线判断法, 亚像素

Abstract: The speed and accuracy of extracting the center of line structured light has a direct effect on integral performance of the system in three-dimensional measurement of line structured light. Based on geometrical center method, direction template method and barycenter method, a high-speed algorithm of extracting the center of line structured light was proposed. First, the image was preprocessed, and the center of line structured light was fast extracted as contour line by geometrical center method. Then a normal detection method based on location was designed to extract normal direction of contour line. Compared with direction template method, the calculating speed of the proposed algorithm significantly improved. Finally, the center of structured light was extracted precisely through gray weight of normal direction pixel on contour line. The experimental results indicate that the proposed algorithm's speed has significantly boosted in processing, and its precision reaches sub-pixel level.

Key words: image processing, center extraction, geometrical center method, normal direction detective method, sub-pixel

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