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A randomized circle detection method with application to detection of circular traffic signs

机译:一种随机圆检测方法在圆形交通标志检测中的应用

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We propose an improved randomized circle detection method. The improved method reduces the computational complexity of the randomized circle detection method by a factor of two. We then apply the proposed method to detection of circular traffic signs. For traffic images taken in complex scenarios, the colors of interest are first segmented, obtaining potential regions of traffic signs. By applying edge detection and improved randomized circle detection method, traffic signs can be exactly located. Experimental results show that the proposed method has a small computational requirement for natural scenes under different lighting conditions and it can fast and accurately locate circular traffic signs. It can also position circular traffic signs with occlusions and variations in shape, size, and color.
机译:我们提出了一种改进的随机圆检测方法。改进的方法将随机圆检测方法的计算复杂度降低了两倍。然后,我们将提出的方法应用于圆形交通标志的检测。对于在复杂场景中拍摄的交通图像,首先将感兴趣的颜色进行分割,以获得交通标志的潜在区域。通过应用边缘检测和改进的随机圆检测方法,可以准确定位交通标志。实验结果表明,该方法对不同光照条件下自然场景的计算量较小,可以快速,准确地定位圆形交通标志。它也可以定位圆形交通标志,并在形状,大小和颜色上进行遮挡和变化。

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