A Discriminative Image Registration Model with Hybrid Feature Detector

Authors

  • Syed Abdul Hanan Ahmed Shah  Department of Computer System Engineering, Mehran University of Engineering and technology Jamshoro Sindh, Pakistan
  • Shahnawaz Talpur  Department of Computer System Engineering, Mehran University of Engineering and technology Jamshoro Sindh, Pakistan
  • Bushra Naz  Department of Computer System Engineering, Mehran University of Engineering and technology Jamshoro Sindh, Pakistan

DOI:

https://doi.org/10.32628/CSEIT2390369

Keywords:

Bilateral filter, ORB, KNN, RANSAC, template matching, Image registration.

Abstract

Image registration is a manner of aligning two or more images of the same scene which achieves maximum accuracy. Analysis of geometric distortion, caused by the difference in viewing angle, sensor resolution and distance. The critical step in image registration is the collection of feature points and evaluate a spatial transformation mainly when outliers are present. In our proposed framework we have used the hybrid feature-based and area-based methods together. Before applying those methods, the Bilateral Filter is applied for the preprocessing of both the images, the reference image and the image that needs to be registered in order to make the images noise free. For feature detection, the ORB (Oriented FAST and Rotated BRIEF) is used which is basically a fusion of FAST key point detector and BRIEF descriptor with many modifications to enhance the performance. KNN (K-Nearest Neighbors) is used for matching similar points and for reducing the miss matches the efficient algorithm is used which is Random Sample Consensus (RANSAC). The template matching method is applied for the area-based matching.

References

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

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Published

2023-06-30

Issue

Volume 9, Issue 3, May-June-2023

Section

Research Articles

License

Copyright (c) IJSRCSEIT

Creative Commons License

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

How to Cite

[1]
Syed Abdul Hanan Ahmed Shah, Shahnawaz Talpur, Bushra Naz, " A Discriminative Image Registration Model with Hybrid Feature Detector" International Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 9, Issue 3, pp.272-278, May-June-2023. Available at doi : https://doi.org/10.32628/CSEIT2390369