Image registration is a fundamental task in medical image analysis. Recently, many deep learning based methods have been extensively investigated due to their comparable performance with the state-of-the-art classical approaches despite ultra-fast computational time. However, existing still limitations preservation of original topology during deformation vector fields. To address this issues, h...

We proposed an intensity-based morphological pyramid image registration algorithm. This approach utilizes the global affine transformation model, also considering radiometric changes between images. With the morphological pyramid structure, Levenberg-Marquardt optimization, and bilinear interpolation, this algorithm can be implemented hierarchically and iteratively with capability of measuring,...

This paper aims to present a survey of different applications of image registration technique. Image registration is a pre-processing step for different applications. It consists of mainly four steps: feature detection, feature matching, transformation model estimation and image resampling and transformation. Image registration has wide applications in remote sensing, in medicine and agricultur...