Strip Noise Reduction Algorithm for Bullet Train Image Based on Virtual Instrument
Yu Ta · Journal of Tianjin University of Science and Technology · 2015
A new method of eliminating strip noise based on Lab VIEW is proposed according to the feature that the image information of every bullet train number has imperceptible changes. Firstly,in the frequency domain,a series of logic operations was used on the binaryzation image of both noise image and the original image. After multiple-sample processing,the Butterworth band rejection filter was used for eliminating the strip noise. Then,in the space domain,IMAQ Gray Morphology.Ⅵ and IMAQ BCGLookup.Ⅵ were used to enhance the processed image so as to sharpen the blurring edges of the train number image caused by filtering in the frequency domain. After evaluating the processed image via the MSE and PSNR image evaluation methods and comparing with the waves in the ordinary band stop filtering,the conclusion is that the method proposed can get rid of the strip noise very effectively.