减法聚类的Hough变换航迹起始算法

A Hough transform track initiation algorithm based on subtractive clustering

针对低信噪比、低信杂比目标检测时Hough变换累积矩阵存在的峰值簇拥现象,提出了一种基于减法聚类的Hough变换航迹起始算法.该方法首先采用Hough变换初步筛选出参数空间上大于投票阈值的投票值,然后采用减法聚类对获取的参数进行二次处理.实验表明该方法不但能够明显改善局部峰值簇拥现象,而且对杂波干扰具有更好的鲁棒性,特别适用于复杂环境中的目标检测.

To solve the problem of peak clustering in Hough transform for track initiation of dim targets, an improved track initiation algorithm based on subtractive clustering is proposed. First, Hough transform is used to obtain the votes whose value exceeds the threshold in parametric space, and then a subtractive clustering method is applied to get the final result corresponding to the obtained parameters. Experimental results show that the proposed approach can achieve significant improvement in reducing the peak clustering, and has strong robustness to clutter, especially in complex environment.