东北大学学报(自然科学版) ›› 2003, Vol. 24 ›› Issue (11): 1029-1032.DOI: -

• 论著 • 上一篇    下一篇

集控式足球机器人视觉子系统的关键技术

方帅;胡英;徐心和   

  1. 东北大学信息科学与工程学院;东北大学信息科学与工程学院;东北大学信息科学与工程学院 辽宁沈阳 110004
  • 收稿日期:2013-06-24 修回日期:2013-06-24 出版日期:2003-11-15 发布日期:2013-06-24
  • 通讯作者: Fang, S.
  • 作者简介:-
  • 基金资助:
    国家高技术研究发展计划项目(2001AA422270)·

Key technologies of centralized soccer-robot vision system

Fang, Shuai (1); Hu, Ying (1); Xu, Xin-He (1)   

  1. (1) Sch. of Info. Sci. and Eng., Northeastern Univ., Shenyang 110004, China
  • Received:2013-06-24 Revised:2013-06-24 Online:2003-11-15 Published:2013-06-24
  • Contact: Fang, S.
  • About author:-
  • Supported by:
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摘要: 简要概括了NewNEU足球机器人系统的视觉结构框架,对视觉系统的关键技术进行了详细介绍·关键技术包括图像矫正,图像分割和辨识算法·通过投影矫正和几何矫正,克服了成像系统本身存在的图像形变问题·根据足球机器人系统的特点,选择HSV颜色模型,用来构造分色器和建立颜色信息库,实现对图像目标的分割·讨论了各种色标设计方案,提出一种抗干扰性较强的色标设计方案,并给出了相应的辨识算法·

关键词: 颜色模型, 几何矫正, 投影矫正, 辨识算法, 足球机器人

Abstract: Introducing the frame of NewNEU soccer-robot vision system, its key technologies were explicated including image correction, image segmentation and identification algorithm. The image distortion was solved by projection correction and geometric correction, and based on the characteristics of soccer robots, HSV color model was applied to set up color partitioner and color database to implement the partition of object images. A more reasonable and anti-jamming design was put forward by comparing and analyzing various representative color tag designs with a fast and relatively exact successive approximation algorithm given correspondingly for angular compensation.

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