摘要
提出了一种基于数学形态学算子的多尺度边缘检测方法。首先选取几个有代表性的结构元素对灰度图像进行边缘检测得到边缘图像。改变结构元素的尺寸大小可得到多尺度下的边缘图像,根据局部边缘生存期的长短将不同尺度下的边缘图像合成。对噪声大、边缘较模糊的红外图像进行了边缘检测与比较,实验表明该算法抗噪能力强,能得到更精细准确的边缘。
An edge detection algorithm based on multi-scale morphology was presented. Firstly, image edge was detected by using several typical structure elements. Then, edges in different scale were combined according to the life of local feature, which were detected by changing the size of structure elements. Compared with several conventional edge detectors, the proposed algorithm has better noise immunity and performance on edge detection of infrared image with large noise and blurry edge.
出处
《计算机应用》
CSCD
北大核心
2007年第4期970-971,975,共3页
journal of Computer Applications
关键词
边缘检测
多尺度
形态学
红外图像
edge detection
multl-scale
morphology
infrared image
