An Adaptive Multi-Focus Medical Image Fusion using Cross Bilateral Filter Based on Mahalanobis Distance Measure

Authors(3) :-K. L. Naga Kishore, N. Nagaraju, A. V. V. Vinod Kumar

In this paper the Cross Bilateral Filter is used to fuse source images with the help of Mahalanobis distance measure. The proposed image fusion algorithm directly fuses two source images of a same scene using weighted average. The proposed method differs from other weighted average methods in terms of weight computation and the domain of weighted average. Here, the weights are computed by measuring the strength of details in a detail image obtained by subtracting CBF output from original image. The weights thus computed are multiplied directly with the original source images followed by weight normalization. This paper compares the few similar image fusion algorithms by considering the performance evaluation metrics like Entropy, Standard Deviation, and PSNR.

Authors and Affiliations

K. L. Naga Kishore
Department of ECE, Vardhaman College of Engineering, Hyderabad, Andhra Pradesh, India
N. Nagaraju
Department of ECE, Vardhaman College of Engineering, Hyderabad, Andhra Pradesh, India
A. V. V. Vinod Kumar
Department of ECE, Vardhaman College of Engineering, Hyderabad, Andhra Pradesh, India

Cross Bilateral Filter, Mahalanobis distance, Entropy, Standard Deviation, PSNR.

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Publication Details

Published in : Volume 2 | Issue 3 | May-June 2016
Date of Publication : 2016-06-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 614-618
Manuscript Number : IJSRSET1623169
Publisher : Technoscience Academy

Print ISSN : 2395-1990, Online ISSN : 2394-4099

Cite This Article :

K. L. Naga Kishore, N. Nagaraju, A. V. V. Vinod Kumar, " An Adaptive Multi-Focus Medical Image Fusion using Cross Bilateral Filter Based on Mahalanobis Distance Measure, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 2, Issue 3, pp.614-618, May-June-2016.
Journal URL : http://ijsrset.com/IJSRSET1623169

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