量子电子学报2017，Vol.34Issue(3)：278-285,8.DOI:10.3969/j.issn.1007-5461.2017.03.004
基于多尺度多方向结构元素的形态学图像边缘检测算法
Morphology image edge detection algorithm based on multi-scale and multi-direction structural elements
摘要
Abstract
In order to further improve the performance of noise suppression and edge detection in image processing,a new morphology image edge detection algorithm based on multi-scale and multi-direction structure elements is proposed.The method fully utilizes the erosion,dilation,opening,closing and its transformation and combination operation based on the directional differences of structural elements in mathematical morphology.In order to improve the signal-to-noise ratio and edge details of image,the image denoising,edge extraction and other preprocessing operations are carried out.The image initial contour is obtained by using multi-scale and multi-direction structure elements recursive morphological filtering.Image edge detection is carried out by using multi-scale morphology and multi-direction structure elements.Experimental results show that the proposed algorithm has more powerful anti-noise performance and can extract the edge information effectively and accurately.关键词
图像处理/多尺度多方向/数学形态学/边缘检测/结构元素Key words
image processing/multi-scale and multi-direction/mathematical morphology/edge detection/structure element分类
信息技术与安全科学引用本文复制引用
吴朔媚,韩明,王敬涛..基于多尺度多方向结构元素的形态学图像边缘检测算法[J].量子电子学报,2017,34(3):278-285,8.基金项目
Supported by Science and Technology Planning Projects of Hebei Province(河北省科技计划,16222101D,1522032) （河北省科技计划,16222101D,1522032）
