X-ray Liquid Images Filtering Algorithm Based on Hybrid Filter
Yang Xi, Yang Lirui · Hedianzixue yu tance jishu · 2013
According to the properties of noise and the features of grayscale variation in dual-energy X-ray liquid images,the paper proposed a method combining improved adaptive median filtering and NL-means filtering with noise statistic estimator to cancel both Gaussian noise and pulse noise.Firstly,image pixels are classified into impulse noisy pixels、edge pixels and Gaussian noisy pixels by noise detection operators.The paper adopted improved adaptive median filtering to process impulse noisy pixels and edge pixels,NL-means filtering with noise statistic estimator to process Gaussian noisy pixels.Then,a method of image quality assessment based on material feature curves is applied,the results are compared with the calibration curve.Extensive simulation experiments demonstrate that new algorithm can preserve edge detail,material features and save time.The method of image quality assessment combines objective and subjective factors to meet needs of practical applications.