• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>2014 IEEE International Conference on System Science ang Engineering >Evaluation of color space for segmentation in robot soccer
【24h】

Evaluation of color space for segmentation in robot soccer

机译：足球足球分割色彩空间的评估

获取原文
获取原文并翻译 | 示例
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Color segmentation plays an important role as a primary process in the vision system of the robot soccer, since color is an effective and robust visual cue in the complex environment. However, color segmentation suffers natural variations in light and shadows as well as the limitation of calculation due to the real-time robot system. A color transformation is assumed to increase separability among different color class labels, for color segmentation approaches are highly dependent on the robustness of the used color spaces to these variations. In this contribution, measures based on geometric distance, histogram comparison and information theory are employed to evaluate a color space. Ten color spaces are compared by evaluation metrics for robot soccer vision system in the RoboCup Standard Platform League (SPL). The experimental results reveal that the optimal performance was obtained by the transforming the pixels to the CIE-L*a*b* and RGB color spaces. Moreover, the linear transform color spaces have better performance than perceptually color spaces according to the metrics for RoboCup SPL.
机译：颜色分割在机器人足球的视觉系统中起着主要作用，因为在复杂的环境中颜色是一种有效而强大的视觉提示。然而，由于实时机器人系统的存在，颜色分割遭受光和阴影的自然变化以及计算的限制。假定进行颜色转换可提高不同颜色类别标签之间的可分离性，因为颜色分割方法高度依赖于所用颜色空间对这些变化的鲁棒性。在此贡献中，采用了基于几何距离，直方图比较和信息论的度量来评估色彩空间。通过RoboCup标准平台联盟（SPL）中机器人足球视觉系统的评估指标比较了十个色彩空间。实验结果表明，通过将像素转换为CIE-L * a * b *和RGB颜色空间可以获得最佳性能。此外，根据RoboCup SPL的指标，线性变换颜色空间比感知颜色空间具有更好的性能。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号