Image registration using robust M-estimators

Authors:
K. V. Arya;P. Gupta;P. K. Kalra;P. Mitra
Affiliations:
Department of Computer Science & Information Technology, M. J. P. Rohilkhand University, Bareilly 243006, India;Department of Computer Science & Engineering, Indian Institute of Technology Kanpur, Kanpur 208016, India;Department of Electrical Engineering, Indian Institute of Technology Kanpur, Kanpur 208016, India;Department of Computer Science & Engineering, Indian Institute of Technology Kharagpur, Kharagpur 721302, India
Venue:
Pattern Recognition Letters
Year:
2007

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Abstract

In this paper, a method for robust image registration based on M-estimator Correlation Coefficient (MCC) is presented. A real valued correlation mask function is computed using Huber and Tukey's robust statistics and is used as a similarity measure for registering image windows. The mask function suppresses the influence of outlier points and makes the registration algorithm robust to noisy pixels, brightness fluctuations and presence of occluding objects. The superiority of the proposed algorithm, in terms of registration performance and computation time is demonstrated through experimental studies on different types of real world images.