Image registration is used widely in applications for mapping one image to another. Existing
image registration methods are either feature-based or intensity-based. Feature-based …

Image registration (IR) aims to map one image to another of a same scene. It is a
fundamental task in many imaging applications. Most existing IR methods assume that the …

Image registration is a required step in many practical applications that involve the
acquisition of multiple related images. In this paper, we propose a methodology to deal with …

Image registration (IR) aims to geometrically match one image to another. It is extensively
used in many imaging applications. Among many existing IR methods, one widely used …

Intensity-based image registration approaches rely on similarity measures to guide the
search for geometric correspondences with the high affinity between images. The properties …

Image registration plays an important role in military and civilian applications, such as
natural disaster damage assessment, environmental monitoring, ground change detection …

Image registration is widely used in many fields, but the adaptability of the existing methods
is limited. This work proposes a novel image registration method with high precision for …

Image registration is a prerequisite for infrared (IR) and visible (VIS) image fusion. In
practical application, most scenes are not planar and there is significant distinctness …

Accurate definition of the similarity measure is a key component in image registration. Most
commonly used intensity-based similarity measures rely on the assumptions of …

Image matching is one of the most important tasks in computer vision. Most existing methods
cannot achieve precise pattern matching under spatially varying illumination variations and …