Gel image matching based on local homography constraints

Authors:
Ankhbayar Yukhuu;Young Sup Hwang
Affiliations:
Department of Computer Science and Engineering, Sun Moon University, Asan, Chungnam, Korea;Department of Computer Science and Engineering, Sun Moon University, Asan, Chungnam, Korea
Venue:
CIMMACS'09 Proceedings of the 8th WSEAS International Conference on Computational intelligence, man-machine systems and cybernetics
Year:
2009

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Abstract

The paper discusses the 2DE gel image matching problem that occurs when define correspondence to detect spots position and their pairing correlations. It is expected that a proportion of these correspondences will in fact be mismatches. The feature description and matching method are used to find correspondences; these are refined by the algorithm that automatically computes a homography between two images. With the refined correspondences, the RANSAC is designed to deal with exactly this situation - to estimate 1) the homography and also 2) a set of inliers consistent with this estimate and 3) outliers. Experimental results show that the algorithm is efficient and it improves the robustness and accuracy of the automatic image matching.