Title :
Image Registration Using Radial Basis Function
Author :
Rajeswari, R. ; Irudhayaraj, A. Anthony
Author_Institution :
Dept. of Comput. Sci., Mother Theresa Women´´s Univ., Kodaikanal, India
Abstract :
Radial basis function(RBF) is used to register source image with target image. Training the RBF network is done with inputs as X,Y co-ordinates of the characteristic points from source and target images. The target output in the output layer is taken as the amount and direction of horizontal shift, vertical shift, angle of rotation required to align source image with target image. This approach results in less alignment error.
Keywords :
image registration; radial basis function networks; image registration; radial basis function; register source image; target image; Computed tomography; High-resolution imaging; Image registration; Magnetic materials; Magnetic resonance; Magnetic resonance imaging; Neurons; Optical imaging; Pixel; X-ray imaging; Keywords-Radial basis function; functional magnetic resonance image;
Conference_Titel :
Machine Learning and Computing (ICMLC), 2010 Second International Conference on
Conference_Location :
Bangalore
Print_ISBN :
978-1-4244-6006-9
Electronic_ISBN :
978-1-4244-6007-6
DOI :
10.1109/ICMLC.2010.66
