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Color Similarity Based Real-time Road Detection Algorithm For Mobile Robot

机译:基于颜色相似度的移动机器人实时道路检测算法

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A color similarity based real-time road detection algorithm in RGB color space is proposed in this paper. Firstly, the color information is extract from kernel region; then a illumination invariant is introduced to eliminate illumination interference; finally, road region can be obtained by color segmentation. By comparing the algorithm with OSTU algorithm and Hue based algorithm separately, the results show the effectiveness and real-time performance of our approach.
机译:提出了一种基于颜色相似度的RGB颜色空间实时道路检测算法。首先,从内核区域提取颜色信息。然后引入照度不变以消除照度干​​扰;最后,可以通过颜色分割获得道路区域。通过将该算法与OSTU算法和基于Hue的算法分别进行比较,结果表明了该方法的有效性和实时性。

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