TWO-DIMENSIONAL RIGID IMAGE REGISTRATION USING THE COARSE SEARCH APPROCH

Abstract

The process or technique of matching the appearance of two or more images by determining an alignment between them is known as image registration. This is basically aligns two images geometrically. In this study, two-dimensional image registration is presented using the rigid group. This group is a finite dimensional group under composition; it is four-dimensional in this particular case. The dimensions of the rigid group include scaling, rotation, and translations along the axes. This paper presents a method that uses a discretized objective function to create rigid transformations. Based on SSD (sum of the squares of the distances between the pixel intensities), this objective function calculates the difference between the images. The coarse search approach is used for the optimization. The proposed algorithm is implemented on a variety of images, mostly our own captured images. The numerical examples illustrate the effectiveness of the proposed algorithm.