带式输送机红外图像去噪方法研究

红外热成像测温技术可以实现非接触式测量,在带式输送机故障诊断中逐步应用,其优点是直观、高效,且不受环境条件的影响,但红外图像在采集传输的过程中会受到多种噪声的干扰,从而产生图像模糊等问题,进而对后续故障诊断系统的图像分割、特征提取等产生影响。为解决图像模糊问题,研究几种经典去噪的算法,提出一种改进阈值函数的小波阈值红外图像去噪算法,仿真实验结果表明,相较于经典算法具有更好的去噪效果。

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.