摘要
传统彩色图像边缘特征提取仅利用中层次与低层次信息,边缘特征提取效果不佳,为此,提出一种可利用高层次信息的多特征彩色图像边缘特征提取方法。经验证,所提方法对彩色图像边缘特征提取效果最好,对彩色图像边缘检测的精度最高。
Traditional color image edge feature extraction only uses medium and low-level information, and the effect of edge feature extraction is poor. Therefore, a multi feature color image edge feature extraction method using high-level information is proposed. After verification, the proposed method has the best effect on color image edge feature extraction and the highest accuracy for color image edge detection.
作者
付学佳
FU Xue-jia(The Engineering&Technical College of Chengdu University of Technology,Leshan 614000 China)
出处
《自动化技术与应用》
2021年第12期89-93,共5页
Techniques of Automation and Applications
关键词
深度学习
多特征
彩色图像
边缘特征
提取
deep learning
multi feature
color image
edge feature
extraction