摘要
对一类定周期正弦曲线的检测问题进行了研究。提出了一种两步实现的快速检测方法:首先采用投票机制确定正弦曲线的基线位置,然后采用二维Hough变换提取该位置所对应的正弦曲线的幅度和初相位参数。给出了对模拟图像测试的结果,且与传统的Hough变换算法作了对比。结果表明,该文方法大大降低了检测过程中时间和存储空间的开销,提高了检测速度和效率。
In this paper,research is performed on detecting a kind of fixed period sinusoidal curves in images.A fast approach is proposed for this purpose,which proceeds on two stages.The first stage detects the baseline position of the sinusoidal curve using a voting process.The second stage determines the remaining parameters of the sinusoidal curve including amplitude and original phase by2-D Hough transform.Experimental results are given for synthetic images with and without noise.Compared to standard Hough transform,this method significantly reduces the time and space required to evaluate all possible parameters and improves the efficiency.
出处
《计算机工程与应用》
CSCD
北大核心
2002年第4期1-3,78,共4页
Computer Engineering and Applications
基金
国家自然科学基金资助(编号:49774239)
