|Table of Contents|

Wavelet Image Fusion Algorithm Based on Morphology and Average Grads

南京师范大学学报（工程技术版）[ISSN:1006-6977/CN:61-1281/TN]

Issue:
2013年04期
Page:
76-
Research Field:
Publishing date:

Info

Title:
Wavelet Image Fusion Algorithm Based on Morphology and Average Grads
Author(s):
Li Ying; Zhu Wenyan; Yuan Fei; Feng Shaotong; Nie Shouping
Jiangsu Province Key Laboratory for Opto-Electronic Technology,Nanjing Normal University,Nanjing 210023,China
Keywords:
image fusion; morphology; wavelet transform; average grads; partial energy
PACS:
TP391
DOI:
-
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.

References:

[1] 张闯,柏连发,张毅.基于灰度空间相关性的双谱微光图像融合方法[J].物理学报,2007,56(6):3 227-3 233.
Zhang Chuang,Bai Lianfa,Zhang Yi.Method of fusing dual-spectrum low light Level images based on gray-scale spatial correlatio[J].Acta Phys Sin,2007,56(6):3 227-3 233.(in Chinese)
[2]赵鹏,浦昭邦.基于形态学4子带分解金字塔的图像融合[J].光学学报,2007,27(1):40-44.
Zhao Peng,Pu Zhaobang.Image fusion based on morphological 4-subband decomposition pyramid[J].Acta Optica Sin,2007,27(1):40-44.(in Chinese)
[3]Liu Kun,Guo Lei,Li Huihui,et al.Fusion of infrared and visible light images based on region segmentation[J].Chinese Journal of Aeronautics,2009(22):75-80.
[4]甘甜,冯少彤,聂守平,等.基于分块DCT变换编码的小波域多幅图像融合算法[J].物理学报,2011,60(11):114205(1-7).
Gan Tian,Feng Shaotong,Nie Shouping,et al.Image fusion algorithm based on block-DCT in wavelet domain[J].Acta Phys Sin,2011,60(11):114205(1-7).(in Chinese)
[5]Ahmed Abd-el-kader,Hossam El-Din Moustafa,Sameh Rehan.Performance measures for image fusion based on wavelet transform and curvelet transform[C]//Radio Science Conference(NRSC).Cario,2011.
[6]廖苗,郑少伟,赵于前.一种新的视网膜血管图像增强方法[J].光电子·激光,2012,23(11):2 237-2 242.
Liao Miao,Zheng Shaowei,Zhao Yuqian.A novel method for tetinal vascular image enhancement[J].Journal of Optoelectronics.Lase,2012,23(11):2 237-2 242.(in Chinese)
[7]Song Yu,Li Mantian,Li Qingling,et al.A new wavelet based multi-focus image fusion scheme and its application on optical microscopy[C]//Robotics and Biomimetics(IEEE)on International Conference.Kunming,2006.
[8]乔闹生,邹北骥,邓磊,等.一种基于图像融合的含噪图像边缘检测方法[J].光电子·激光,2012,23(11):2 215-2 220.
Qiao Naosheng,Zou Beiji,Deng Lei.An edge detection method based on image fusion in a noisy image[J].Journal of Optoelectronics.Lase,2012,23(11):2 215-2 220.(in Chinese)
[9]Zhou Lijian.A gradient-based multi-focus image fusion method using multiwavelets transform[C]//2012 International Conference on Industrial Control and Electronics Engineering(IEEE).Xi'an,2012.
[10]Bai Xiangzhi.Image fusion through feature extraction by using sequentially combined toggle and top-hat based contrast operator[J].Applied Optics,2012,51(31):7 566-7 575.
[11]Li Qingping,Du Junping,Song Fuzhao,et al.Region-based multi-focus image fusion using the local spatial frequency[C]//2013 Chinese Control and Decision Conference(CCDC).Guiyang,2013.
[12]Seetha M,Hazarath Munaga.Iterative image fusion using neuro fuzzy logic and applications[J].MVIP(IEEE),2012,6428775:121-124.

Memo

Memo:
-
Last Update: 2013-12-30