International Journal of Advance Computational Engineering and Networking (IJACEN)
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Statistics report
Jun. 2019
Submitted Papers : 80
Accepted Papers : 10
Rejected Papers : 70
Acc. Perc : 12%
Issue Published : 73
Paper Published : 1148
No. of Authors : 2870
  Journal Paper

Paper Title
An Additive Method For Medical Image Fusion Using Ripplet Transform

Abstract
Image fusion combining input images to generate better quality of image .In this paper We propose CT and MRI based Medical image fusion method based on ripplet transform for spatial registered, RT is new tool ,capable of resolving two dimensional singularities and representing image edges more efficiently. The input medical images are first transformed by discrete RT .Different fusion rules are applied to the different LF and HF subbands then inverse DRT(IDRT) is applied to the fused coefficient to get fused image. The performance of the proposed scheme is evaluated by various quantitative measure like Mutual Information (MI),Spatial Frequency (SF),and entropy (EN) Index Terms—Image Fusion, Ripplet transform, Standard Deviation, Mutual Information


Author - Rajeshwari S.Goswami, Seema R.Baji

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| Published on 2015-06-17
   
   
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