Vol. 2 No. 1 (2022): Journal of AI-Assisted Scientific Discovery
Articles

Image Registration Techniques - Alignment and Fusion: Exploring image registration techniques for aligning and fusing images from different modalities or time points for analysis and visualization

Dr. Marco Rossi
Professor of Information Engineering, University of Pisa, Italy
Cover

Published 01-01-2022

Keywords

  • Image registration,
  • alignment

How to Cite

[1]
Dr. Marco Rossi, “Image Registration Techniques - Alignment and Fusion: Exploring image registration techniques for aligning and fusing images from different modalities or time points for analysis and visualization”, Journal of AI-Assisted Scientific Discovery, vol. 2, no. 1, pp. 156–162, Jan. 2022, Accessed: Sep. 18, 2024. [Online]. Available: https://scienceacadpress.com/index.php/jaasd/article/view/112

Abstract

Image registration is a fundamental task in image processing and computer vision, aiming to align images from different sources or time points for various applications. This paper provides an overview of image registration techniques, focusing on alignment and fusion methods. We discuss the importance of image registration in medical imaging, remote sensing, and other fields where combining information from multiple images enhances analysis and visualization. We present a comprehensive review of traditional and modern image registration techniques, including feature-based methods, intensity-based methods, and deep learning approaches. We also discuss challenges and future directions in image registration research.

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