Color image filtering algorithm based on neighborhood Mean-Shift

Abstract

Given proper values of shift windows in spatial domain and color domain respectively,the color data were filtered by means of Mean-Shift clustering,during which the color data in the r-circular neighboring domain of current data point were used as the clustering samples.Then image data at current position were updated with the cluster center newly obtained.This algorithm overcomes the difficulty to choose proper window radius for the model of Mean-Shift filtering combining spatial domain and color domain to adopt the possible variation of image size.Finally,the experimental results verify the validity of Mean-Shift filtering.