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.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Elhanany, I., Sheinfeld, M., Beckl, A., et al.: Robust Image Registration Based on Feedforward Neural Networks. In: Proceedings of IEEE International Conference on System, Man and Cybernetics, vol. 2, pp. 1507–1511 (2000)
Wu, J., Xie, J.: Zernike Moment-based Image Registration Scheme Utilizing Feedforward Neural Networks. In: Proceedings of the 5th World Congress on Intelligent Control and Automation, vol. 5, pp. 4046–4048 (2004)
Tenenbaum, J.B., De Silva, V., Langford, J.C.: A Global Geometric Framework for Nonlinear Dimensionality Reduction. Science 290(5500), 2319–2323 (2000)
Ravdin, P.M., Clark, G.M., Hilsenbeck, S.G., et al.: A Demonstration That Breast Cancer Recurrence Can Be Predicted by Neural Network Analysis. Breast Cancer Research and Treatment 21(1), 47–53 (1992)
De Laurentiis, M., Ravdin, P.M.: Survival Analysis of Censored Data: Neural Network Analysis Detection of Complex Interaction between Variables. Breast Cancer Research and Treatment 32(1), 113–118 (1994)
White, H.: Connectionist Nonparametric Regression: Multilayer Feedforward Networks Can Learn Arbitrary Mapping. Neural Networks 3(5), 535–549 (1990)
Hagan, M.T., Menhaj, M.: Training Feedforward Networks with Marquardt Algorithm. IEEE Trans. Neural Networks 15(6), 989–993 (1994)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2006 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Xu, A., Guo, P. (2006). Isomap and Neural Networks Based Image Registration Scheme. In: Wang, J., Yi, Z., Zurada, J.M., Lu, BL., Yin, H. (eds) Advances in Neural Networks - ISNN 2006. ISNN 2006. Lecture Notes in Computer Science, vol 3972. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11760023_71
Download citation
DOI: https://doi.org/10.1007/11760023_71
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-34437-7
Online ISBN: 978-3-540-34438-4
eBook Packages: Computer ScienceComputer Science (R0)