现代制造工程Issue(2)：144-149,6.DOI:10.16731/j.cnki.1671-3133.2018.02.027
基于深度卷积网络的图像边缘检测方法
Image edge detection using deep convolutional networks
赵新亚1
作者信息
- 1. 沈阳职业技术学院电气工程学院,沈阳110000
- 折叠
摘要
Abstract
The accuracy of image edge detection is significant for the object detection.Extracting effectively object in the image is the main propose of image edge detection.To extracting effectively object,proposes a method of image edge detection using deep convolutional networks.This method uses three network lays to learn the large image set ImageNet.Based on the deep learning, image edge detection will obtain the edge structure feature to distinguish between the edge of the object and the edge of the scene.Compared with typical edge detection algorithms,the proposed method can be suitable for extracting the object.It is be-cause some noise edge in scene will be suppressed which can improve object operations.关键词
边缘检测/深度卷积网络/Canny算法/目标检测Key words
edge detection/deep convolutional networks/Canny algorithm/object operations分类
信息技术与安全科学引用本文复制引用
赵新亚..基于深度卷积网络的图像边缘检测方法[J].现代制造工程,2018,(2):144-149,6.
