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Improvement of Soccer Robot Vision Subsystem

机译:足球机器人视觉子系统的改进

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摘要

Summarized the vision structure frame of the YSU soccer robot system and detailedly introduced the key technique of the visual system. Through geometric correction, it settled the problem of image deformation existing in imaging system itself. In order to improve image processing speed and precision, proposed the HSV color space model to process image, after analyzing the RGB color space model advantage and shortcomings. According to the soccer robot competition actual situation improved the HSV color space model. In addition, it proposed a kind of target searching algorithm based on the relevance of order grid and the seed filling.
机译:总结了YSU足球机器人系统的视觉结构框架,并详细介绍了该视觉系统的关键技术。通过几何校正,解决了成像系统本身存在的图像变形问题。为了提高图像处理速度和精度,在分析了RGB色彩空间模型的优缺点之后,提出了HSV色彩空间模型对图像进行处理。根据足球机器人比赛的实际情况,改进了HSV颜色空间模型。另外,基于顺序网格和种子填充的相关性,提出了一种目标搜索算法。

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