文献类型：会议论文

英文题名：An Adaptive Morphological Filter Based on Multiple Structure and Multi-scale Elements

作者：Xu, Guo-bao[1,2];Su, Zhi-bin[1];Wang, Ji[1];Yin, Yi-xin[2];Shen, Yi-li[3]

机构：[1]Guangdong Ocean Univ, Informat Sch, Zhanjiang 524088, Peoples R China;[2]Univ Sci & Technol Beijing, Sch Informat Engn, Beijing 100083, Peoples R China;[3]Zhong Kai Univ Agr & Technol, Guangzhou 510225, Peoples R China

会议论文集：2nd International Symposium on Intelligent Information Technology Application

会议日期：DEC 21-22, 2008

会议地点：Shanghai, PEOPLES R CHINA

语种：英文

外文关键词：Adaptive filtering - Gaussian noise (electronic) - Image fusion - Median filters - Scales (weighing instruments)

外文摘要：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.