Simulation research of adaptive weight morphological edge detection algorithm

doi:10.3778/j.issn.1002-8331.2010.17.046

Computer Engineering and Applications ›› 2010, Vol. 46 ›› Issue (17): 163-165.DOI: 10.3778/j.issn.1002-8331.2010.17.046

• 图形、图像、模式识别 • Previous Articles Next Articles

Simulation research of adaptive weight morphological edge detection algorithm

KANG Jie¹，YANG Gang²

1.Department of Electric and Information Engineering，Shaanxi University of Science & Technology，Xi’an 710021，China
2.Department of Communication and Information Engineering，Xi’an University of Posts & Telecommunications，Xi’an 710061，China

Received:2010-02-22 Revised:2010-04-06 Online:2010-06-11 Published:2010-06-11
Contact: KANG Jie

自适应权重形态学边缘检测算法仿真研究

亢洁¹，杨刚²

1.陕西科技大学电气与信息工程学院，西安 710021
2.西安邮电学院通信与信息工程学院，西安 710061

通讯作者: 亢洁

Abstract

Abstract: 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.

Key words: mathematical morphology, edge detection, multi-scale and multi-structure elements, adaptive weight

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。

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

CLC Number:

TP391

KANG Jie¹，YANG Gang². Simulation research of adaptive weight morphological edge detection algorithm[J]. Computer Engineering and Applications, 2010, 46(17): 163-165.

亢洁¹，杨刚². 自适应权重形态学边缘检测算法仿真研究[J]. 计算机工程与应用, 2010, 46(17): 163-165.

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Simulation research of adaptive weight morphological edge detection algorithm

自适应权重形态学边缘检测算法仿真研究

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