Isomap and neural networks based image registration scheme

Authors:
Anbang Xu;Ping Guo
Affiliations:
Image Processing and Pattern Recognition Laboratory, Beijing Normal University, Beijing, P.R. China;Image Processing and Pattern Recognition Laboratory, Beijing Normal University, Beijing, P.R. China
Venue:
ISNN'06 Proceedings of the Third international conference on Advnaces in Neural Networks - Volume Part II
Year:
2006

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Abstract

A novel image registration scheme is proposed. In the proposed scheme, the complete isometric mapping (Isomap) is used to extract features from the image sets, and these features are input vectors of feedforward neural networks. Neural network outputs are those translation, rotation and scaling parameters with respect to reference and observed image sets. Comparative experiments for Isomap based method, the discrete cosine transform (DCT) and Zernike moment are performed. The results show that the proposed scheme is not only accurate but also remarkably robust to noise.