journal6 ›› 2004, Vol. 25 ›› Issue (2): 66-70.

• 计算机 • 上一篇    下一篇

基于FART 网络与数据融合的图像增强和恢复

  

  1. ( 长沙交通学院计算机工程系, 湖南长沙 410076)
  • 出版日期:2004-06-15 发布日期:2012-11-06
  • 作者简介:傅明( 1961- ) , 男, 湖南省汩罗市人, 长沙交通学院计算机工程系教授, 主要从事计算机网络技术、人工智能等研究.

Image Enhancement and Restoration Based on FART Network and Data Fusion

  1. ( Department of Computer Engineering, Changsha Jiaotong University, Changsha 410076, China)
  • Online:2004-06-15 Published:2012-11-06

摘要:为了有效地进行图像的增强和恢复处理, 提出了一种基于Fuzzy ART( FART) 网络与数据融合的方法. 利用灰度直方图门限化方法, 不仅可以自动确定分类数目以进行聚类分析, 而且可对来自同一景物的多幅带有不同噪声的图像进行处理. 仿真实验表明, 在数据融合时, FART 网络能较好地实现图像的增强和恢复.

关键词: Fuzzy ART 网络, 数据融合, 图像增强和恢复, 聚类分析

Abstract: This paper presents a new kind of image enhancement and restoration based on Fuzzy ART network and data fusion in order to process the images effectually.This approach which uses grayscale histogram threshold can not only automatically determine the number of classes of an image to analyze clusters, but also process the image which comes from the same scene with noises. Simulation experiment demonstrates that FART network can realize the image enhancement and restorat ion very well.

Key words: Fuzzy ART network, data fusion, image enhancement and restoration, cluster analysis

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