This paper presents a review of automated image registration methodologies that have been
used in the medical field. The aim of this paper is to be an introduction to the field, provide …

In this paper, a new metric for evaluating the performance of the combinative pixel-level
image fusion is defined based on an image feature measurement, ie phase congruency and …

The generation process of medical image will inevitably introduce certain noises. These
noises will degrade the image quality and affect the final clinical diagnosis. Therefore …

A promising approach in PET image reconstruction is to incorporate high resolution
anatomical information (measured from MR or CT) taking the anato-functional similarity …

Image registration is widely used in remote-sensing applications. The existing automatic
image registration techniques fall into two categories: Intensity-based and feature-based; the …

Investigation of urban built environment includes a wide range of applications that require 3-
D information. New approaches are needed for near-real-time analysis of the urban …

Multi-parametric and quantitative magnetic resonance imaging (MRI) techniques have come
into the focus of interest, both as a research and diagnostic modality for the evaluation of …

Image Fusion is a powerful and necessary tool to incorporate the relevant visual information
provided by multiple sensors simultaneously. The quality of the results however, is bounded …

We present a new non-uniform sampling method for the accurate estimation of mutual
information in multi-modal brain image rigid registration. Most existing density estimators …

Image registration is considered one of the most fundamental and crucial pre-processing
tasks in digital imaging. This paper describes a fast multimodal automatic image registration …