A locally constrained radial basis function for registration and warping of images

Authors:
Adil Masood Siddiqui;Asif Masood;Muhammad Saleem
Affiliations:
Department of Electrical Engineering, University of Engineering and Technology, Lahore, Pakistan and Department of Computer Science, College of Telecommunication Engineering (MCS), National Univer ...;Department of Computer Science, College of Telecommunication Engineering (MCS), National University of Sciences and Technology (NUST), Rawalpindi, Pakistan;Department of Electrical Engineering, University of Engineering and Technology, Lahore, Pakistan
Venue:
Pattern Recognition Letters
Year:
2009

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Abstract

The work in this paper presents a non-rigid registration approach using proposed radial basis function (RBF). The RBF is based on locally constrained cosines. The proposed function is designed to overcome the weaknesses, observed in previous RBFs. The criteria to evaluate the accuracy of transformation functions are also proposed in this paper. Results of the proposed RBF are analyzed and compared with the existing RBFs, based on the proposed evaluation criteria and some other similarity measures. We demonstrate the applicability of proposed approach for registration of medical images and image warping.