Image Processing Strategies for Fusion of Multiple Images : A Comprehensive Analysis

Authors(2) :-Prabhjit Kaur, Prabhpreet Kaur

The digital image processing is capable of handling the problems extracted out of several domains. Information collected over the several domains is required to be filtered. The process of extracting information out of several domains is known as image fusion. Application areas of image fusion could be many. This paper highlights the application of image fusion in fields of health care using MRI and CT images etc. The phases associated with image fusion include feature detection, feature matching, transform model estimation and image resampling and transformation. Each of these phases is elaborated for detecting the enhancement parameter for future endeavours. Comparative analysis is presented to determine the optimal technique that can be worked upon to obtain optimal parameter listening.

Authors and Affiliations

Prabhjit Kaur
MTECH Guru Nanak Dev University, Amritsar, Punjab, India
Prabhpreet Kaur
MTECH Guru Nanak Dev University, Amritsar, Punjab, India

Image processing, image fusion, feature detection, matching, transform model estimation, image resampling and transformation

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Publication Details

Published in : Volume 3 | Issue 2 | January-February 2018
Date of Publication : 2018-02-28
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 245-252
Manuscript Number : CSEIT1831358
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

Prabhjit Kaur, Prabhpreet Kaur, "Image Processing Strategies for Fusion of Multiple Images : A Comprehensive Analysis", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 3, Issue 2, pp.245-252, January-February-2018.
Journal URL : http://ijsrcseit.com/CSEIT1831358

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