摘要
阐述在传统数学形态学算法的基础上,根据抗噪型膨胀腐蚀形态学边缘检测算子结构元素特征进行算法的改进。基于结构元素的尺寸与边缘操作时间呈正相关,采用不同大小结构元素组合来提取边缘特征,在保证图像细节前提下能除掉较大噪声点。根据结构元素的方向性,由具有相同方向结构元素图像相匹配,检测到各边缘信息,确保不同向边缘信息的完整度。
Based on the traditional mathematical morphology algorithm, this paper describes the improvement of the algorithm according to the characteristics of the structural elements of the morphological edge detection operator of anti noise swelling and corrosion. Based on the positive correlation between the size of structural elements and the edge operation time, the combination of structural elements of different sizes is used to extract the edge features, which can remove the large noise points on the premise of ensuring the image details. According to the directionality of the structural elements, the structural element images with the same direction are matched to detect each edge information and ensure the integrity of the edge information in different directions.
作者
胡俊梅
HU Junmei(Xi'an Communications Engineering College,Shaanxi 710300,China)
出处
《集成电路应用》
2022年第8期234-235,共2页
Application of IC
关键词
数字图像处理技术
数学形态学
滤波算法
结构元素
digital image processing technology
mathematical morphology
filtering algorithm
structural elements