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首页> 外文期刊>International Journal of Image, Graphics and Signal Processing >A Connected Domain Analysis Based Color Localization Method and Its Implementation in Embedded Robot System
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A Connected Domain Analysis Based Color Localization Method and Its Implementation in Embedded Robot System

机译:基于连接域分析的颜色定位方法及其在嵌入式机器人系统中的实现

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A target localization method based on color recogni-tion and connected component analysis is presented in this paper. The raw image is converted to HSI color space through a lookup table and binarized, then followed by a line-by-line scan to find all the connected domains. By setting appropriate threshold for the size of each connected domain, most pseudo targets can be omitted and coordinates of the target could be calculated in the mean time. The main advantage of this method is the absence of extra filtering process, therefore real-time performance of the whole system is greatly improved. Another merit is we introduce the frame difference concept to avoid manually presetting the upper and lower bound for binarization. Thirdly, the localization step is combined with target enumeration, further simplified the implementation. Experiments on our ARM system demonstrate its capability of tracing multiple targets under a mean frame rate of 15FPS, which satisfied the requirement of real-time video processing on embedded robot systems.
机译:提出了一种基于颜色识别和连通成分分析的目标定位方法。原始图像通过查找表转换为HSI色彩空间并进行二值化,然后逐行扫描以查找所有连接的域。通过为每个连接域的大小设置适当的阈值,可以省去大多数伪目标,并可以同时计算目标的坐标。该方法的主要优点是无需额外的滤波过程,因此整个系统的实时性能得到了极大的提高。另一个优点是,我们引入了帧差异概念,以避免手动预设用于二值化的上限和下限。第三,将定位步骤与目标枚举结合起来,进一步简化了实现。在我们的ARM系统上进行的实验表明,它能够以15FPS的平均帧速率跟踪多个目标,满足了嵌入式机器人系统上实时视频处理的要求。

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