摘要
提出了一种自适应权重的多刻度形态学边缘检测算法。该算法首先在同一尺度下用多个结构元素分别进行边缘检测,并得到该尺度下的边缘图像,利用形态学结构元素"探针"原理和不同尺度结构元素抗噪性能来确定加权值的大小,然后对不同尺度下的边缘图像进行加权求和,再经过二值化、去噪等处理,得到最后的边缘检测结果。仿真结果表明,该方法具有较好的抗干扰性和定位准确性,得到的边缘更为完整。
A multiscale adaptive weight adding algorithm of morphological edge detecting is proposed.Firstly,on the same scale,the multi-structure elements are adopted in edge detection,and then the edge image on one scale is gained through synthesizing.Secondly,different weights are adaptively ascertained using the ＇probe＇theory of mathematical structure elements and the different scale elements＇antinoise performances,and then the edge images on the different scales are summed with adaptive weights,binarized and suppressed the noise,and at last,the edge image is obtained using the multiscale adaptive weight adding algorithm of morphological edge detecting.The results of simulation show that the algorithm has better anti-interference and positioning accuracy,and the obtained edge is more complete.
出处
《计算机工程与应用》
CSCD
北大核心
2010年第17期163-165,168,共4页
Computer Engineering and Applications
基金
陕西省教育厅科研计划项目 No.06JK350
陕西科技大学博士启动基金~~
关键词
数学形态学
边缘检测
多尺度多结构元素
自适应权重
mathematical morphology
edge detection
multi-scale and multi-structure elements
adaptive weight
