This article presents a generic probabilistic framework for estimating the statistical
dependency and finding the anatomical correspondences among an arbitrary number of …

High-dimensional (HD) chaotic map has wide applications in various research fields such as
neural networks and secure communication. Designing HD chaotic maps with expected …

Multi-spectral imaging (MSI) is a novel non-invasive tool for visualizing the entire span of the
eye, from the internal limiting membrane to the choroid. However, spatial misalignments can …

Image registration is an important task in medical image analysis. Whereas most methods
are designed for the registration of two images (pairwise registration), there is an increasing …

This paper proposes a method for aligning image volumes acquired from different imaging
modalities (eg MR, CT) based on 3D scale-invariant image features. A novel method for …

Groupwise image registration tackles biases that can potentially arise from inappropriate
template selection. It typically involves simultaneous registration of a cohort of images to a …

Chaotic systems are an effective tool for various applications, including information security
and internet of things. Many chaotic systems may have the weaknesses of incomplete output …

Nowadays, information-theoretic similarity measures, especially the mutual information and
its derivatives, are one of the most frequently used measures of global intensity feature …

This paper addresses the task of time-separated aerial image registration. The ability to
solve this problem accurately and reliably is important for a variety of subsequent image …

In this paper, we address the registration of historical WWII images to present-day ortho-
photo maps for the purpose of geolocalization. Due to the challenging nature of this …