基于交通标志的显著性目标检测方法

A Salient Object Detection Method Based on Traffic Signs

本文针对交通标志的显著性检测提出了一种新的方法和思路。在Lab和HSV两种颜色空间下分别计算L、a、b和H、S、V颜色通道的显著图,并通过得到的显著图在高、中、低亮度范围的像素点的多少来筛选Lab和HSV中哪个颜色通道的显著图有效,最后融合得到最终显著图。实验证明该方法易于实现,能快速有效的检测出交通标志的显著性区域。

A new method and thinking is put forward according to traffic signs. The saliency maps are respectively calculated in L, a, b color channel and H, S, V color channel of two kinds of color space Lab and HSV. And through the number of pixels of the saliency maps obtained in high, median, low brightness range to screen which saliency map in Lab and HSV color channels is effective. Finally, the final saliency map is obtained through the fusion. The experiments show that the method is easy to be implemented and can detect salient region of traffic signs fast and effectively.