摘要
通过Hough变换,图像空间中较为困难的全局检测问题就转化为参数空间中相对容易解决的局部峰值检测问题。本文针对参数空间峰值簇拥情况,给出了一种通过比较积累单元样本方差大小,在备选积累矩阵提取实际估计参数的峰值提取方法,并通过仿真证实了此方法的有效性。
Through Hough transformation, relatively difficult global detection problem in the image space could be transformed into relatively easy partial peak detection problem in the parameter space. Aimed at peak cluster in the parameter space, a peak extraction method to extract actual estimating parameters from back-up accumulated matrix was given by comparing with the variance of accumulative unit sample. Meanwhile, the method was validated by simulation.
出处
《太原科技大学学报》
2006年第4期256-258,共3页
Journal of Taiyuan University of Science and Technology
关键词
HOUGH变换
直线检测
峰值提取
hough transformation, line detection, peak value extraction