摘要
数学形态学边缘检测器能克服线性边缘检测器的一些缺点,但是存在宽边缘,导致边缘分辨率较低。文章依据宽边缘形成机理,提出了一种从相互垂直方向分割形态学梯度图像,提取截面曲线局部极大值的边缘检测算法;给出了算法实现的详细步骤。实验表明该算法能提高形态学梯度边缘检测器的边缘分辨能力,并且能增强形态学边缘检测器的抗噪性能。
Morphological gradient is a nonlinear edge detector that can overcome the some drawbacks of the linear edge detector. Wide edges detected by morphological gradient cause the low edge resolution. According to the reasons why wide edges produce, an edge detection algorithm is presented that gradient image is segmented in two orthogonal orientations and local maximums are dived from the section curves, The algorithm＇s steps are presented in detail. The experimental results show the algorithm can improve the edge resolution and insensitivity to noise.
出处
《计算机工程》
EI
CAS
CSCD
北大核心
2005年第21期14-16,50,共4页
Computer Engineering
基金
空军工程大学优秀博士论文基金资助项目
关键词
边缘检测
形态学梯度
边缘分辨率
抗噪性
Edge detection
Morphological gradient
Edge resolution
Anti-noise
