湖南工业大学学报2012，Vol.26Issue(4)：105-108,4.
基于数学形态学FCM聚类原型图像降噪方法
The Image Noise Reduction Method Based on FCM Clustering Prototype with Mathematical Morphology
摘要
Abstract
The images from sensors often contain a lot of noise.Aiming at the limitations of two-dimensional histogram algorithm which commonly used in image noise detecting and separating as well as the features of traditional FCM clustering algorithm,a method of FCM clustering prototype initialization based on mathematical morphology is presented: firstly,the image initial clustering cluster is determined based on the theory of mathematical morphology,and then the cluster is processed through the algorithm of FCM.Theoretical analysis and experiment show that the approach can effectively eliminate the image noise and has certain application value for processing the images with uniform noise background.关键词
数学形态学/原型初始化/FCM/图像处理Key words
mathematical morphology/prototype initialization/FCM/image processing分类
信息技术与安全科学引用本文复制引用
肖满生,钟钦,张建亚,欧桂源,李崇高..基于数学形态学FCM聚类原型图像降噪方法[J].湖南工业大学学报,2012,26(4):105-108,4.基金项目
湖南省科技计划基金资助项目 （）
湖南省大学生研究性学习和创新性实验计划基金资助项目 （）
