基于非下采样Contourlet变换的自适应医学图像融合算法

doi:10.3969/j.issn.0255-8297.2017.06.010

应用科学学报 ›› 2017, Vol. 35 ›› Issue (6): 763-774.doi: 10.3969/j.issn.0255-8297.2017.06.010

基于非下采样Contourlet变换的自适应医学图像融合算法

楼建强¹, 戴文战², 李俊峰¹

1. 浙江理工大学自动化研究所, 杭州 310012;
2. 浙江工商大学信息与电子工程学院, 杭州 310012

收稿日期:2016-11-02 修回日期:2017-02-14 出版日期:2017-11-30 发布日期:2017-11-30
作者简介:戴文战,教授,博导,研究方向:图像融合、智能控制,E-mail:dwz@zjsu.edu.cn
基金资助:
国家自然科学基金（No.61374022）资助

Adaptive Fusion Algorithm for Medical Images Using Non-subsampled Contourlet Transform

LOU Jian-qiang¹, DAI Wen-zhan², LI Jun-feng¹

1. Institute of Automation, Zhejiang Sci-Tech University, Hangzhou 310012, China;
2. School of Information and Electronic Engineering, Zhejiang Gongshang University, Hangzhou 310012, China

Received:2016-11-02 Revised:2017-02-14 Online:2017-11-30 Published:2017-11-30

摘要/Abstract

摘要：

提出一种多模态医学图像融合算法.用非下采样contourlet变换（non-subsampled contourlet transform，NSCT）将已配准的源图像进行分解，得到低频子带和多层高频子带，然后在各子带中将NSCT系数进行融合.对于低频子带，根据其特性制定规则融合区域能量、互信息、信息熵；对于高频子带，则依据改进的拉普拉斯能量和融合规则，用遗传算法自动优化其待定参数.将融合后的高、低频子带进行NSCT逆变换即可得到融合图像.对灰度和彩色医学图像进行的实验表明，与其他方法相比，用该算法得到的融合图像包含更丰富的纹理信息，视觉效果较好.

关键词: 区域能量, 医学图像融合, 非下采样变换, 改进拉普拉斯能量和

Abstract:

An adaptive image fusion algorithm based on non-subsampled contourlet transform(NSCT)is proposed for medical images. Source images are first registered and then decomposed to low and high frequency sub-bands using NSCT. The NSCT coefficients in each sub-band are fused. For coefficients in the low frequency bands, a fusion rule based on regional energy, mutual information and information entropy is used. In high frequency bands, sum of modified Laplacian is used. The final image is obtained from the fused sub-images in the low and high frequency bands using inverse NSCT. Experiments are conducted for gray and color images to compare the propose method with previous algorithms. The results show that fused images using the proposed method contains more texture information, and is visually better.

Key words: medical image fusion, sum of modified Laplacian energy, non-subsampled contourlet transform (NSCT), regional energy

中图分类号:

TP391.4

楼建强, 戴文战, 李俊峰. 基于非下采样Contourlet变换的自适应医学图像融合算法[J]. 应用科学学报, 2017, 35(6): 763-774.

LOU Jian-qiang, DAI Wen-zhan, LI Jun-feng. Adaptive Fusion Algorithm for Medical Images Using Non-subsampled Contourlet Transform[J]. Journal of Applied Sciences, 2017, 35(6): 763-774.

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基于非下采样Contourlet变换的自适应医学图像融合算法

Adaptive Fusion Algorithm for Medical Images Using Non-subsampled Contourlet Transform

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