A Medical Image Noise Filtering Hybrid Filter Algorithm
Jiuyun Sun · Xiandai shengwu yixue jinzhan · 2011
Objective:Medical image in acquisition,storage,and transport process may be polluted by all kinds of noise in different degree.In order to effectively filter medical image noise,a hybrid filter algorithm was presented.Methods:Firstly,the medical image which contains Gaussian and salt pepper noise was implemented morphological opening operation.Then medical image through two-dimensional wavelet decomposition,retaining the low frequency wavelet coefficient unchanged,at the same time the high frequency wavelet coefficient was conducted wiener filtering.Finally,the wavelet coefficient were reconstructed.Results:Using this hybrid algorithm,wavelet shareholding denoising,median filtering,and wiener filters respectively on the medical image which contains mixture noise filtering processing.The algorithm is significantly higher than the PSNR value to the other three kings of filtering methods.Conclusion:The hybrid filter algorithm is a kind of relatively effectively medical image noise fitter method.