An iterative image registration algorithm by optimizing similarity measurement

An Iterative Image Registration Algorithm by Optimizing Similarity Measurement

A new registration algorithm based on Newton-Raphson iteration is proposed to align images with rigid body transformation. A set of transformation parameters consisting of translation in x and y and rotation angle around z is calculated by optimizing a specified similarity metric using the Newton-Raphson method. This algorithm has been tested by registering and correlating pairs of topography m...

DPML-Risk: An Efficient Algorithm for Image Registration

Targets and objects registration and tracking in a sequence of images play an important role in various areas. One of the methods in image registration is feature-based algorithm which is accomplished in two steps. The first step includes finding features of sensed and reference images. In this step, a scale space is used to reduce the sensitivity of detected features to the scale changes. Afterw...

Similarity measures for image registration

Image similarity metrics in image registration

Measures of image similarity that inspect the intensity probability distribution of the images have proved extremely popular in image registration applications. The joint entropy of the intensity distributions and the marginal entropies of the individual images are combined to produce properties such as resistance to loss of information in one image and invariance to changes in image overlap du...

An iterative mixed1 norm image restoration algorithm

In this paper; we propose an iterative mired norm image restoration algorithm. A functional which combines the least mean squares (LMS) and the least mean fourth (LMF) functionals is proposed. A function of the kurtosis: is used to determine the relative importance between the L A 8 and the LMF functionals. An iterative algorithm is utilized for obtaining a solution and its convergence is analy...