This article is cited in 19 papers

IMAGE PROCESSING, PATTERN RECOGNITION

An algorithm for multistage projective transformation adjustment for image superimposition

A. I. Efimov, A. I. Novikov

Ryazan State Radio Engineering University, Ryazan, Russia

Abstract: We propose a multistage algorithm for constructing a projective transformation based on arbitrary sets of keypoint pairs, with the sets containing more than four keypoint pairs. In the course of calculation of a homography matrix, unsuccessful keypoint pairs are detected and rejected. Experimental results on image superimposition using projective transformations for homogeneous and heterogeneous images are presented. Methods for assessing the quality of image superimposition, which include the local and integral estimates of the superimposition quality, are proposed.

Keywords: mixed-spectrum images, contour analysis methods, keypoints (special, corresponding), projective transformations, homography matrix, quality of image superimposition.

Received: 18.01.2016
Revised: 21.02.2016

DOI: 10.18287/2412-6179-2016-40-2-258-265