Comparative Analysis on Noise Processing of Vacuum Switching Arc Images
In order to diagnose the arc shape and the plasma parameters of vacuum switching arc effectively, it is necessary to do digital image processing on the arc images. The noises interfere greatly in the digital image processing of the arc, it makes images fuzzy and submerges the characteristics of the images. In this paper, based on the methods of average filter, two dimensions wavelet filter, wiener filter, several images averaging filter and median filter are used to filter the salt and pepper noised arc images. Combined with the results, we have analyzed and compared the effects of different noises filtering methods.
H. J. Dong et al., "Comparative Analysis on Noise Processing of Vacuum Switching Arc Images", Applied Mechanics and Materials, Vols. 229-231, pp. 2615-2618, 2012