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

Authors

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

Keywords:

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

Abstract

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.

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2018-02-28

Issue

Volume 3, Issue 2, January-February-2018

Section

Research Articles

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Copyright (c) IJSRCSEIT

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Prabhjit Kaur, Prabhpreet Kaur, " Image Processing Strategies for Fusion of Multiple Images : A Comprehensive Analysis, IInternational 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.