Mixed noise removing method for three-dimensional medical images
Zhao Jiu-lon · Chinese Journal of Liquid Crystals and Displays · 2015
Medical images are usually polluted by noise during the process of transmission and collection.A mixed noise removing method based on adaptive three-dimensional(3D)fractional integral and median filtering was proposed to reconstruct high accuracy edge surfaces.Firstly,some traditional methods in denoising were introduced.Then the adaptive order of fractional integral based on the gradient information of three-dimensional image was proposed.Making use of the advantage of fractional integral and median filtering,an edge surface tracking algorithm based on mixed noise denoising method was proposed.The experimental results show that the proposed method can effectively track edge surfaces from noisy medical image slices with high accuracy.The denoised results are better than traditional denoising methods.