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Vehicle Localization Based on Phase Information and Edge Projection

机译:基于相位信息和边缘投影的车辆定位

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A novel vehicle localization algorithm based on phase information and contour projection is proposed. Firstly, HSV color model and RGB color model are combined, and contours of the vehicles in image are detected based on phase congruency. Secondly, contour projection method is utilized to get candidate vehicle regions. Finally vehicle region distinguishing algorithm are applied to the candidates, as a result the exact positions of vehicles are obtained. Experiment results show that the new algorithm has strong robustness and suffers small from the luminance, contrast of image, noise and shadows. Furthermore, it is suitable for images including more than one vehicles and has higher accuracy compared with common algorithms.
机译:提出了一种基于相位信息和轮廓投影的车辆定位算法。首先,将HSV颜色模型和RGB颜色模型进行组合,并基于相位一致性检测图像中车辆的轮廓。其次,利用轮廓投影法获得候选车辆区域。最后,将车辆区域区分算法应用于候选者,从而获得车辆的精确位置。实验结果表明,该算法鲁棒性强,亮度,图像对比度,噪声和阴影小。此外,它适用于包括多于一辆车辆的图像,并且与普通算法相比具有更高的精度。

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