Filter of the optical image based on alpha-trimmed mean filter and Mahalanobis distance
Liu Guang-y · Journal of Jilin University · 2015
It is easy for digital image to contain noise.To overcome this problem,an adaptive filter algorithm based on Alpha-trimmed mean filter and Mahalanobis distance is proposed.This algorithm combines the advantages of the Alpha-trimmed mean filter and the feature of the Mahalanobis distance.First,the reference sequence is obtained by the Alpha-trimmed mean filter.Then,the Mahalanobis distance between the reference sequence and the comparing sequence is calculated,which is used to determine the weight coefficient of the pixels in the filter window.Finally,the weighted result is taken as the filter output.The experiment results show that the filtering effect of the proposed algorithm is very high for the image containing Gaussian noise,salt and pepper noise or mixed noise,and can keep the details of the original image.