科技创新与应用2024，Vol.14Issue(26)：138-141,4.DOI:10.19981/j.CN23-1581/G3.2024.26.030
带式输送机红外图像去噪方法研究
吴飞跃1
作者信息
- 1. 安徽理工大学 电气与信息工程学院,安徽 淮南 232001
- 折叠
摘要
Abstract
Infrared thermal imaging temperature measurement technology can achieve non-contact measurement and is gradually used in belt conveyor fault diagnosis.Its advantages are intuitive,efficient,and not affected by environmental conditions.However,infrared images will be affected by the process of collection and transmission.The interference of various noises causes problems such as image blur,which in turn affects the image segmentation and feature extraction of subsequent fault diagnosis systems.In order to solve the image blur problem,several classic denoising algorithms were studied and an improved threshold was proposed.Functional wavelet threshold infrared image denoising algorithm,simulation experimental results show that it has better denoising effect than the classicalgorithm.关键词
红外图像/带式输送机/去噪算法/阈值函数/小波阈值Key words
infrared image/belt conveyor/denoising algorithm/threshold function/wavelet threshold分类
信息技术与安全科学引用本文复制引用
吴飞跃..带式输送机红外图像去噪方法研究[J].科技创新与应用,2024,14(26):138-141,4.
