We describe an approach for registration of images from diierent sensors that may generate local polarity reversals and inconsistent features. The developed technique is based on modifying the objective function by transforming the images into a representation that is less dependent on the local image intensity, and using an iterative process that reduces the eeect of inconsistent features.

Image registration aims to map one image to another of a same scene. It is a fundamental task in many imaging applications. Most existing image registration methods assume that the mapping transformation has a parametric form or satisfies certain regularity conditions (e.g., it is a smooth function with continuous first or higher order derivatives). They often estimate the mapping transformatio...

Image registration is the process of overlaying images (two or more) of the same scene taken at different times, from different viewpoints, and/or by different sensors. The registration geometrically aligns two images (the reference and sensed images). Many applications require a panoramic image of the object but due to limitation of apparatus, only a single image of the object in large scale c...