摘要
为了减低图像的噪声,保留有用的信息,获得更为可靠的融合图像,将Kalman滤波引入图像融合中,提出基于Kalman滤波与多特征模糊聚类的图像融合算法.该方法结合滤波和多特征优点,实验结果表明了该方法的有效性.
To remove the noise from images while retaining the useful information and get more reliable results, The Kalman filter approach is introduced to image fusion, and a novel image fusion algorithm based on Kalman filter and multi-feature fuzzy clustering is proposed. The method combines the advantages of Kalman filter with multi-feature algorithm. The results of experiments indicate that the proposed image fusion method is effective.
出处
《江南大学学报(自然科学版)》
CAS
2007年第6期694-697,共4页
Joural of Jiangnan University (Natural Science Edition)
基金
国家自然科学基金项目(60572034)
江苏省自然科学基金项目(BK2006081)
教育部新世纪优秀人才计划项目
图像处理与图像通信实验室开放基金项目(KJS03038)
教育部科学技术研究项目(105087)