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Mathematical Problems in Engineering
Volume 2017, Article ID 2878930, 11 pages
Research Article

SIFT Saliency Analysis for Matching Repetitive Structures

1School of Computer Science and Technology, Dalian University of Technology, Dalian, China
2School of Computer and Information Technology, Liaoning Normal University, Dalian, China

Correspondence should be addressed to Yan Yang; moc.361@61283026gnemeux

Received 5 June 2017; Accepted 19 November 2017; Published 12 December 2017

Academic Editor: Oscar Reinoso

Copyright © 2017 Yan Yang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


The ambiguity resulting from repetitive structures in a scene presents a major challenge for image matching. This paper proposes a matching method based on SIFT feature saliency analysis to achieve robust feature matching between images with repetitive structures. The feature saliency within the reference image is estimated by analyzing feature stability and dissimilarity via Monte-Carlo simulation. In the proposed method, feature matching is performed only within the region of interest to reduce the ambiguity caused by repetitive structures. The experimental results demonstrate the efficiency and robustness of the proposed method, especially in the presence of respective structures.