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PCNN与粗集理论用于多聚焦图像融合
引用本文:马义德,林冬梅,王兆滨,张北斗,高清祥. PCNN与粗集理论用于多聚焦图像融合[J]. 电子科技大学学报(社会科学版), 2009, 0(4)
作者姓名:马义德  林冬梅  王兆滨  张北斗  高清祥
作者单位:兰州大学信息科学与工程学院;兰州理工大学;
基金项目:国家自然科学基金(60572011,60872109);;新世纪人才支持计划(NCET-06-0900)
摘    要:现有技术不能保证获取图像时,对图像每个位置都具有同样的聚焦效果,这样便产生了多聚焦图像的融合问题,它包括如何进行多聚焦图像像素分类及采取何种融合决策。该文结合脉冲耦合神经网络(PCNN)模型和粗集理论,对该问题进行尝试性研究,提出了一种新的多聚焦图像融合算法。首先计算原始图像的清晰度,将清晰度矩阵送入PCNN进行处理,然后根据粗集理论对原图像像素进行分类处理,最后生成融合图像。仿真结果表明,该算法在一定程度上优于其他传统算法。且具有较好的抗噪性能。

关 键 词:图像融合  多聚焦图像  脉冲耦合神经网络  粗集理论  

Multi-focus Image Fusion Using PCNN and Rough Set
MA Yi-de,LIN Dong-mei,,WANG Zhao-bin,ZHANG Bei-dou,, GAO Qing-xiang. Multi-focus Image Fusion Using PCNN and Rough Set[J]. Journal of University of Electronic Science and Technology of China(Social Sciences Edition), 2009, 0(4)
Authors:MA Yi-de  LIN Dong-mei    WANG Zhao-bin  ZHANG Bei-dou     GAO Qing-xiang
Affiliation:1. School of Information Science & Engineering;Lanzhou University Lanzhou 730000;2. College of Electrical and Information Engineering;Lanzhou University of Technology Lanzhou 730050;3. School of Life Science;Lanzhou University Lanzhou 730000
Abstract:A novel multi-focus image fusion algorithm is proposed for multi-focus image fusion. Pulse coupled neural network (PCNN) and rough set theory are employed to solve the problem of multi-focus image fusion. The clarity of original image is calculated and processed by PCNN. The original image pixels are classified based on rough set theory. Finally, a fusion image is created according to the classified results. Experiments indicate that the proposed method is superior to traditional algorithms with good anti-n...
Keywords:image fusion  multi-focus image  PCNN  rough set theory  
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