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Computer Optics, 2016, Volume 40, Issue 2, Pages 258–265
DOI: https://doi.org/10.18287/2412-6179-2016-40-2-258-265
(Mi co140)
 

This article is cited in 18 scientific papers (total in 18 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
References:
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
Document Type: Article
Language: Russian
Citation: A. I. Efimov, A. I. Novikov, “An algorithm for multistage projective transformation adjustment for image superimposition”, Computer Optics, 40:2 (2016), 258–265
Citation in format AMSBIB
\Bibitem{EfiNov16}
\by A.~I.~Efimov, A.~I.~Novikov
\paper An algorithm for multistage projective transformation adjustment for image superimposition
\jour Computer Optics
\yr 2016
\vol 40
\issue 2
\pages 258--265
\mathnet{http://mi.mathnet.ru/co140}
\crossref{https://doi.org/10.18287/2412-6179-2016-40-2-258-265}
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  • https://www.mathnet.ru/eng/co140
  • https://www.mathnet.ru/eng/co/v40/i2/p258
  • This publication is cited in the following 18 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    Computer Optics
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