Application of Image Optimization in Fault Diagnosis of Infrared Thermal Imaging Motor
Aiming at the problem that infrared images are not clear enough due to the noise caused by external reasons,taking the application of infrared thermal imaging in motor fault diagnosis as an example,three methods of Gaussian filter optimi-zation,median filter optimization and TV regular method are used to optimize the original images of infrared motor images collected.The results show that three methods can improve the sharpness of the original image,and the optimization method of median filter has the best effect in improving the sharpness.
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