Image Edge Enhancement Detection Method of Human-Computer Interaction Interface Based on Machine Vision Technology

被引：7
|
作者：
Jin, Yi [1 ]
Wei, Wei [2 ,3 ]
机构：
[1] Suzhou Vocat Univ, Jiangsu Prov Support Software Engn R&D Ctr Modern, Dept Comp Engn, Suzhou 215104, Peoples R China
[2] Xian Univ Technol, Sch Comp Sci & Engn, Xian 710048, Peoples R China
[3] Shaanxi Key Lab Network Comp & Secur Technol, Xian, Peoples R China
来源：
MOBILE NETWORKS & APPLICATIONS | 2022年 / 27卷 / 02期
关键词：
Machine vision technology; Image edge enhancement detection; Canny algorithm; Least square method; Gaussian filtering;
D O I：
10.1007/s11036-021-01908-0
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
Aiming at the problems of low detection accuracy and long detection time of existing image edge detection technologies, an image edge detection method of human-computer interaction interface based on machine vision technology is proposed. Based on machine vision technology, the image weight is calculated by iterative repeated weighted least square method, the image is Gaussian filtered by improved Canny algorithm, and the optimal threshold is calculated by iterative method to judge the effective edge. Through comparative experiments, it is proved that the maximum detection accuracy of the man-machine interface image edge enhancement detection method based on machine vision technology proposed in this paper is 100%, the detection time is always kept below 0.2S, and the fastest detection time is 0.1 s, which has wide applicability.
引用
收藏
页码：775 / 783
页数：9
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