[1]李 莹,朱文艳,袁 飞,等.基于形态学和平均梯度的小波图像融合算法[J].南京师范大学学报(工程技术版),2013,13(04):076.
 Li Ying,Zhu Wenyan,Yuan Fei,et al.Wavelet Image Fusion Algorithm Based on Morphology and Average Grads[J].Journal of Nanjing Normal University(Engineering and Technology),2013,13(04):076.
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基于形态学和平均梯度的小波图像融合算法
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南京师范大学学报(工程技术版)[ISSN:1006-6977/CN:61-1281/TN]

卷:
13卷
期数:
2013年04期
页码:
076
栏目:
出版日期:
2013-12-31

文章信息/Info

Title:
Wavelet Image Fusion Algorithm Based on Morphology and Average Grads
作者:
李 莹朱文艳袁 飞冯少彤聂守平
南京师范大学江苏省光电技术重点实验室,江苏 南京 210023
Author(s):
Li YingZhu WenyanYuan FeiFeng ShaotongNie Shouping
Jiangsu Province Key Laboratory for Opto-Electronic Technology,Nanjing Normal University,Nanjing 210023,China
关键词:
图像融合形态学小波变换平均梯度局部能量
Keywords:
image fusionmorphologywavelet transformaverage gradspartial energy
分类号:
TP391
文献标志码:
A
摘要:
提出了一种基于形态学和平均梯度的小波图像融合算法.其基本思想是利用形态学对图像预处理,再对各图像进行小波变换,对低频部分根据分块后各子块的平均梯度和局部能量,按照一定规则选择融合系数; 高频部分采取最大系数法选择融合系数.最后进行小波逆变换得到融合图像.实验结果表明,该算法能显著改善融合图像的视觉效果.
Abstract:
This paper proposes a novel image fusion algorithm based on morphology and average grads in the area of wavelet.The basic idea is to perform image pre-processing by morphology first,and then to decompose the image into low-frequency component and high-frequency component through wavelet transformation.The average-grads and partial energy within the low-frequency are measured to determine the fused low-frequency component,and select the maximal absolute values in high-frequency coefficients to be the fused high-frequency component.Finally,the fusion image is reconstructed by wavelet inverse transform.Experimental results indicate that the algorithm remarkably improves the visual effect of the fused image.

参考文献/References:

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备注/Memo

备注/Memo:
收稿日期:2013-07-01.
基金项目:江苏省高校自然科学基金(09KJA140002)、江苏省自然科学基金(BK2009400).
通讯联系人:聂守平,教授,博士生导师,研究方向:光学信息处理.E-mail:njnukjc_nie@163.com
更新日期/Last Update: 2013-12-30