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在基于YUV色彩空间上采用混合方法进行颜色分类基础上,提出了一种基于种子填充的新目标机器人搜索算法———二分搜索法,从而明显减少了识别过程中的计算量。通过在F180机器人足球系统上的试验,证明此方法是有效的,可以在保证识别精度的前提下,快速识别机器人。
Based on the color classification based on hybrid method in YUV color space, a new target robot search algorithm based on seed filling - binary search method - is proposed, which reduces the computational complexity significantly. The test on the F180 robot soccer system proves that this method is effective and can quickly identify the robot under the premise of the recognition accuracy.