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Automatic Image Registration Through-Principal Axes Registration

by K. Sudhakar, R. Priyanka, V.Mani Kumar, A.V. Ramani, N. Aparna, M.Manju Sarma
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 185 - Number 30
Year of Publication: 2023
Authors: K. Sudhakar, R. Priyanka, V.Mani Kumar, A.V. Ramani, N. Aparna, M.Manju Sarma
10.5120/ijca2023923059

K. Sudhakar, R. Priyanka, V.Mani Kumar, A.V. Ramani, N. Aparna, M.Manju Sarma . Automatic Image Registration Through-Principal Axes Registration. International Journal of Computer Applications. 185, 30 ( Aug 2023), 30-35. DOI=10.5120/ijca2023923059

@article{ 10.5120/ijca2023923059,
author = { K. Sudhakar, R. Priyanka, V.Mani Kumar, A.V. Ramani, N. Aparna, M.Manju Sarma },
title = { Automatic Image Registration Through-Principal Axes Registration },
journal = { International Journal of Computer Applications },
issue_date = { Aug 2023 },
volume = { 185 },
number = { 30 },
month = { Aug },
year = { 2023 },
issn = { 0975-8887 },
pages = { 30-35 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume185/number30/32885-2023923059/ },
doi = { 10.5120/ijca2023923059 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T01:27:29.485917+05:30
%A K. Sudhakar
%A R. Priyanka
%A V.Mani Kumar
%A A.V. Ramani
%A N. Aparna
%A M.Manju Sarma
%T Automatic Image Registration Through-Principal Axes Registration
%J International Journal of Computer Applications
%@ 0975-8887
%V 185
%N 30
%P 30-35
%D 2023
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Image registration aims to find one to one correspondence between points that are presented in images which are needed to be registered. Also Image registration is the process of spatially aligning two or more images of same location taken at different timings or from different view-points by transforming into one coordinate system. In this paper, a new automatic satellite image registration is proposed based on principal axes registration method. The proposed algorithm uses Scale-invariant feature transform (SIFT) to detect point features from high resolution satellite images and then for removing mismatches (outliers) it uses Random sample consensus (RANSAC) algorithm. Finally, principal axes registration method used to register two images which share common visual information and that are assumed to be differing from each other. The principal axes registration algorithm is based on affine transformation to register two images which are transformed by translation, rotation and scaling. For validation The Root Mean Square Error (RMSE) is used for similarity measure. Experiment results shows that the proposed algorithm can register high resolution satellite images (Cartosat-1, Landsat, Resourcesat-1) which are captured at different timings. The proposed algorithm has been implemented in MATLAB.

References
  1. Goshtasby, A. A. (2012). Image Registration: Principles, Tools and Methods. London: springer.
  2. Ibrahim El Rube, M. S. (2011, December 17-18). Automatic Selection of Control Points for Remote Sensing Image Registration Based on Multi-Scale SIFT. Semantic Scholar.
  3. Jensen, J. (2005). Introductory Digital Image Processing (3 el.). Prentice Hall.
  4. Jignesh N Sarvaiya, S. P. (2012, February 24). Image Registration Using Log Polar Transform and Phase Correlation to Recover Higher Scale. JOURNAL OF PATTERN RECOGNITION RESEARCH, 7, 90-105.
  5. M. Wahed, G. E.-t.-k. (2013). Automatic Image Registration Technique of Remote Sensing Images. (IJACSA) International Journal of Advanced Computer Science and Applications, 4.
  6. Reddy BS, C. B. (1996, August). An FFT-based technique for translation, rotation, and scale invariant image registration. IEEE, 5(8).
  7. Ruzena Bajcsy, S. K. (1989, April). Multi resolution elastic matching. Elsevier, 46(1), 1-21.
  8. S.KParui, D. M. (1982). A new definition of shape similarity. Elsevier B.V., 37-42.
  9. Sanchez-Marin, F. (2003). Image registration of gray-scale images using the Hotelling transform. IEEE spectrum, 1, 119-123
  10. Song, J. H. (2018). Methods for evaluating image registration [University of Iowa].
  11. Cocianu, C.-L.; Uscatu, C.R.; Stan, A.D. Evolutionary Image Registration: A Review. Sensors 2023, 23, 967.
  12. Image Registration of Satellite Images with Varying Illumination Level using HOG Descriptor based SURF Manish I. Patela, Vishvjit K. Thakarb , Shishir K. Shahc
  13. Automated feature-based registration techniques for satellite imagery Azubuike Okorie and Sokratis Makrogiannis
  14. Maria Vakalopoulou, Stergios Christodoulidis, Mihir Sahasrabudhe, Stavroula Mougiakakou, Nikos Paragios. Image Registration of Satellite Imagery with Deep Convolutional Neural Networks.
  15. Y. Wu. et al. / Computational Intelligence in Remote Sensing Image Registration: A survey
  16. Introduction to remote sensing image registration Jacqueline Le Moigne
Index Terms

Computer Science
Information Sciences

Keywords

Image Registration SIFT RANSAC Principal axes registration affine transformation.

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