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A novel color detection method based on HSL color space for robotic soccer competition

机译:基于HSL色彩空间的足球机器人比赛色彩检测新方法

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In a robotic soccer competition, the locations of the ball and the robot are recognized through the vision system in a strong dynamic environment; therefore, the robot and the computer need to identify the object in real-time and accurately through the vision system. Due to the influence of the game ball under different brightnesses, the color clusters of glossy materials will produce a nonlinear behavior and will cause difficulty of recognition. Thus, we propose a novel color detection method based on hue, saturation, and lightness (HSL) color space in this paper. Firstly, by utilizing the hue histogram, the hue and saturation (HS) plane and the hue and lightness (HL) plane can be obtained respectively. In addition, based on the obtained information from two planes, the databases can be built for decreasing the running-time and increasing the recognition success rate of identifying object. Moreover, a novel algorithm is presented for the game ball in the robotic soccer competition. Finally, some examples under different brightnesses are illustrated to demonstrate the preciseness and the accuracy of the proposed method are better than the traditional method.
机译:在机器人足球比赛中,在强大的动态环境中,视觉系统可识别球和机器人的位置;因此,机器人和计算机需要通过视觉系统实时,准确地识别物体。由于游戏球在不同亮度下的影响,光泽材料的颜色簇将产生非线性行为,并导致识别困难。因此,本文提出了一种基于色相,饱和度和明度(HSL)色彩空间的新型色彩检测方法。首先,通过利用色相直方图,可以分别获得色相和饱和度(HS)平面以及色相和明度(HL)平面。另外,基于从两个平面获得的信息,可以建立数据库以减少运行时间并提高识别对象的识别成功率。此外,针对机器人足球比赛中的比赛用球提出了一种新颖的算法。最后,以不同亮度下的一些例子为例,证明了该方法的准确性和准确性。

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