Industrial Image Enhancement Method Based on Cloud Edge Fusion

被引：0

作者：

Zhang, Shuai ^{[1
,2
]}

Pei, Caiyan ^{[2
]}

Sun, Dejie ^{[2
]}

Liu, Wenyuan ^{[1
]}

Cao, Lijun ^{[2
]}

机构：

[1] Yanshan Univ, Sch Informat Sci & Engn, Qinhuangdao 066004, Hebei, Peoples R China

[2] Hebei Normal Univ Sci & Technol, Qinhuangdao 066004, Hebei, Peoples R China

来源：

WIRELESS COMMUNICATIONS & MOBILE COMPUTING | 2022年 / 2022卷

关键词：

ITERATIONS;

D O I：

10.1155/2022/7717161

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Aiming at the problems of high mean square error, low peak signal-to-noise ratio, and long enhancement time of traditional industrial image enhancement methods, an industrial image enhancement method based on cloud edge fusion was proposed. Firstly, the industrial image is preprocessed and denoised by median filtering algorithm to detect the edge of denoised image. Then, the image is enhanced by top hat transform. Finally, the cloud edge fusion method is used to complete the task of industrial image enhancement to improve the efficiency of industrial image enhancement. The experimental results show that the mean square error of this method is kept at a low level, the peak signal-to-noise ratio is always above 53 dB, and the average industrial image enhancement time is 0.96 s. This method has good performance and can obtain a good industrial image enhancement effect, which has certain application value.

引用

页数：11

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