摘要
图像边缘检测是将图像中要素突变的信息提取出来的技术,是图像处理领域的研究热点,也是中高层图像处理和机器视觉的基础。介绍了经典边缘检测的实现原理并对比验证了不同算法的优缺点,分析了近年来基于深度学习的主要检测方法中的关键技术,并对边缘检测技术的发展方向进行了展望。
Image edge detection is a technology that extracts the information of element mutations in an image.It is a research hotspot in the field of image processing and the basis of middle and high-level image processing and machine vision.The realization principle of classic edge detection is introduced and the advantages and disadvantages of different algorithms are compared and verified.The key technologies in the main detection methods based on deep learning in recent years are analyzed,and the development direction of edge detection technology is prospected.
作者
迟慧智
田宇
CHI Huizhi;TIAN Yu(CEPREI,Guangzhou 511370,China)
出处
《电子产品可靠性与环境试验》
2021年第4期92-97,共6页
Electronic Product Reliability and Environmental Testing
关键词
图像处理
边缘检测
深度学习
神经网络
image process
edge detection
deep learning
neural network
