A Hough transform track initiation algorithm based on subtractive clustering

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.