摘要
针对在以往的图像边缘检测中,常用的算法抗噪声能力弱且容易丢失边缘细节等不足,提出一种新的边缘检测算法.该算法首先采用两个不同尺度的结构元素对图像进行交替滤波运算,再利用结构元素进行形态学边缘检测以获得图像的边缘细节.通过实验表明,与传统的边缘检测算法相比较,新算法抗噪能力强,运算效率高且检测到的边缘连续性强.
In order to solve the problem that the common algorithm has poor anti noise ability and is easy to lose the details in the image edge detection, a new edge detection algorithm is proposed in this paper. In this algorithm, two different scale structural elements are used to filter the image for the first time, and then the morphological edge detection is used to obtain the edge details of the image. The experimental results show that compared with the traditional edge detection algorithm, the new algorithm has the advantages of strong anti noise ability, high efficiency and strong edge continuity.
出处
《广西科技大学学报》
2017年第4期92-96,共5页
Journal of Guangxi University of Science and Technology
基金
国家自然科学基金项目(61302178)资助
关键词
边缘检测
形态学
抗噪
结构元素
edge detection
morphology
anti noise
structural elements