A Novel Multimodality Image Fusion Method Using Region Consistency Rule

  • Tanish Zaveri
  • Mukesh Zaveri
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5909)


This paper proposes an efficient region based image fusion scheme using discrete wavelet transform. This paper also proposes two new fusion rules namely mean, max and standard deviation (MMS) and region consistency rule. The proposed algorithm identifies the given images are multisensor or multifocus automatically. It allows best suitable algorithm for segmenting the input source images. Proposed method is applied on large number of registered images of various categories of multifocus and multimodality images and results are compared using standard reference based and nonreference based image fusion parameters. It is evident from simulation results of our proposed algorithm that it preserves more information compared to earlier reported pixel based and region based methods.


Image Fusion Source Image Fusion Rule Multimodality Image Image Fusion Method 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Tanish Zaveri
    • 1
  • Mukesh Zaveri
    • 2
  1. 1.EC DepartmentNirma UniversityAhmedabadIndia
  2. 2.Computer Engineering DepartmentSardar Vallabhbhai National Institute of Technology SuratIndia

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