基于空间矩的随机Hough变换检测直线

Straight Line Detection via Randomized Hough Transform Based on Spatial Moment

为解决随机Hough变换中无效采样和累积问题,研究了一种基于空间矩的随机Hough变换直线检测方法;利用空间矩方法进行随机采样并求取出参数空间点,将计算参数空间点的随机采样点减少到一个,最后利用随机Hough变换原理来确定真实直线;实验结果表明,基于空间矩的随机Hough变换直线检测方法相对于传统的随机Hough变换具有更好的准确性、鲁棒性和稳定性,实时性得到了较大的提高。

To solve the problem of inefficient sampling and accumulation, line detection via Randomized Hough Transform based on spatial moment was proposed in this paper. Using spatial moment method edge points are randomly sampled and the linear parameters are computed. After Random sampling points was reduced to a point, a real line is determined using random Hough transform. The experimental results show that the proposed algorithm has better accuracy, robustness and stability compared with conventional RHT, and real--time performance can be improved.