Image Registration Techniques for Multi-Modal Imaging Including Feature-Based and Intensity-Based Methods
Shrikant Dnyandeo Bhopale, Jyoti Gupta · 2024
Image registration serves as a crucial technique in various fields, enabling the alignment and integration of images captured from different sources or modalities. This chapter delves into fundamental principles of image registration, highlighting the significance of robust estimation techniques in enhancing registration accuracy. A comprehensive exploration of historical advancements underscores the evolution of registration methods, while cross-disciplinary applications illustrate their impact in domains such as medical imaging, remote sensing, and computer vision. Challenges associated with cross-modal registration are critically analyzed, and strategies for successful alignment are proposed, emphasizing the need for innovative approaches to overcome variability in image characteristics, noise, and geometric discrepancies. The chapter concludes by discussing future directions and emerging trends in image registration, including the integration of machine learning techniques. This synthesis of knowledge aims to provide a thorough understanding of image registration techniques for multi-modal imaging, bridging gaps between theoretical frameworks and practical applications.