Conference Proceeding

Image Registration based on Neural Network and Fourier Transform

Electr. Eng. Dept., Univ. of Balamand, Tripoli
Conference proceedings: ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference 10/2006; DOI:10.1109/IEMBS.2006.260342 pp.4803 - 4806 In proceeding of: Engineering in Medicine and Biology Society, 2006. EMBS '06. 28th Annual International Conference of the IEEE
Source: IEEE Xplore

ABSTRACT An image registration technique based on feed forward neural network and Fourier Transform is developed and presented. In the proposed scheme, the spectrums of the acquired images are computed, the Fourier coefficients within a selected central window of each spectrum are extracted and fed as inputs to the neural network. The feed forward neural network is implemented to estimate the transformation, defined in terms of the translation, rotation and magnification parameters, to align the corresponding images. This approach does not estimate the various registration parameters separately. They are estimated simultaneously leading to a better-optimized set of registration parameters. The approach is successful and yields better results than another Fourier based registration technique. The approach is validated on 2D images. However, it can be easily extended to 3-D application

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Keywords

2D images
 
3-D application
 
Fourier
 
Fourier coefficients
 
Fourier Transform
 
image registration technique
 
magnification parameters
 
neural network
 
registration technique
 
selected central window
 
spectrums
 
yields