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基于SUSAN和加权非负矩阵分解的图像融合算法
引用本文:李雪军,郭洪.基于SUSAN和加权非负矩阵分解的图像融合算法[J].福州大学学报(自然科学版),2012,40(1):44-50.
作者姓名:李雪军  郭洪
作者单位:福州大学数学与计算机科学学院
摘    要:为了更好地保留源图像边缘信息、提高抗噪能力,提出一种基于SUSAN和加权非负矩阵分解的图像融合方法.运用SUSAN对像素点进行分类,根据分类结果构建加权矩阵,最后运用加权非负矩阵分解方法实现图像融合.实验证明,该方法能有效地保留边缘信息且抗噪性较好.

关 键 词:图像融合  SUSAN  加权非负矩阵分解  抗噪性

Image fusion algorithm based on SUSAN and weighted non-negative matrix factorization
LI Xue-jun,GUO Hong.Image fusion algorithm based on SUSAN and weighted non-negative matrix factorization[J].Journal of Fuzhou University(Natural Science Edition),2012,40(1):44-50.
Authors:LI Xue-jun  GUO Hong
Institution:(College of Mathematics and Computer Science,Fuzhou University,Fuzhou,Fujian 350108,China)
Abstract:In order to preserve the edge information in the source image and improve the noise immunity,a new fusion method based on SUSAN and weighted nonnegative matrix factorization(WNMF) is presented.By using this method,the image can be fused by the following steps: classifying the pixels by means of the SUSAN;building the weighed matrix according to the classification;then fusing the image based on the WNMF.The experiment proves that we can preserve the edge information effectively and perfect the anti-noise if the new method in this paper can be popularized.
Keywords:image fusion  SUSAN  weighted nonnegative matrix factorization  anti-noise performance
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