Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
534741 | Pattern Recognition Letters | 2009 | 14 Pages |
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.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Vision and Pattern Recognition
Authors
Adil Masood Siddiqui, Asif Masood, Muhammad Saleem,