基于深度学习的多特征彩色图像边缘特征提取  

Edge Feature Extraction of Multi Feature Color Image Based on Deep Learning

作　　者：付学佳[1] FU Xue-jia(The Engineering&Technical College of Chengdu University of Technology,Leshan 614000 China)

机构地区：[1]成都理工大学工程技术学院,四川乐山614000

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

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.

关 键 词：深度学习 多特征 彩色图像 边缘特征 提取 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]