基于优化Daugman算法的出租车标志定位

摘要

When locating round target,traditional Hough transform algorithm is liable to interference and has poor effect,results in big location deviations. In light of this problem, we propose an optimised Daugman algorithm-based location method to realise the location of the taxi signs. This algorithm introduces an optimised Daugman operator and uses the experienced threshold value to improve the accuracy of taxi sign estimation and location. Experiments show that this algorithm can judge and locate the taxi sign accurately and have good robusmess. The experiment also shows that the optimised Daugman algorithm can locate the taxi sign effectively.%针对传统的Hough变换算法定位圆状目标时易受到干扰,效果不佳,导致定位出现较大偏差的问题,提出了一种基于优化的Daugman算法的定位方法来实现对于出租车标志定位.该算法引进一种优化的Daugnum算子并使用阈值经验以提高出租车标志判断与定位的精确度.实验表明,使用该算法判断与定位出租车标志准确且抗干扰性强,从而能有效地定位出租车标志.