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  • 标题:Multimodal Medical Image Fusion Framework Based on Simplified PCNN in Nonsubsampled Contourlet Transform Domain
  • 本地全文:下载
  • 作者:Wang, Nianyi ; Ma, Yide ; Zhan, Kun
  • 期刊名称:Journal of Multimedia
  • 印刷版ISSN:1796-2048
  • 出版年度:2013
  • 卷号:8
  • 期号:3
  • 页码:270-276
  • DOI:10.4304/jmm.8.3.270-276
  • 语种:English
  • 出版社:Academy Publisher
  • 摘要:In this paper, we present a new medical image fusion algorithm based on nonsubsampled contourlet transform (NSCT) and spiking cortical model (SCM). The flexible multi-resolution, anisotropy, and directional expansion characteristics of NSCT are associated with global coupling and pulse synchronization features of SCM. Considering the human visual system characteristics, two different fusion rules are used to fuse the low and high frequency sub-bands respectively. Firstly, maximum selection rule (MSR) is used to fuse low frequency coefficients. Secondly, spatial frequency (SF) is applied to motivate SCM network rather than using coefficients value directly, and then the time matrix of SCM is set as criteria to select coefficients of high frequency subband. The effectiveness of the proposed algorithm is achieved by the comparison with existing fusion methods.
  • 关键词:medical image fusion;spiking cortical model (SCM);nonsubsampled contourlet transform (NSCT);multimodal image fusion;Simplified PCNN
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