An Adaptive Morphological Filter Based on Multiple Structure and Multi-Scale Elements

Abstract

To filter out various kinds of noise of different intensities in gray images, a highly adaptive morphological filter based on multiple structure and multi-scale elements was proposed. This algorithm employs a morphology filter based on multiple structure and multi-scale elements to filter the images, followed by image fusion processing with the weights calculated from the image entropies, before finally obtaining the filtered images. The experimental results show that the proposed filtering algorithm, compared with the traditional filtering algorithms using the mean filter, median filter and Wiener filter, has a better adaptability. The new algorithm can effectively filter many kinds of noise such as the salt and pepper noise, Gaussian noise and speckle noise, while preserving more image details.