一种改进的形态学梯度边缘检测算法  

An Improved Morphological Gradient Edge Detection Algorithm

作　　者：张立东[1] 毕笃彦[1] 

机构地区：[1]空军工程大学工程学院四系,西安710038

出　　处：《计算机工程》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

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.

关 键 词：边缘检测 形态学梯度 边缘分辨率 抗噪性 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]