Title :
Deformable Image Registration Based on Gabor Wavelet and SVM
Author :
Anna, Wang ; Bo, Pan ; Jidong, Ma ; Dan, Li
Author_Institution :
Coll. of Inf. Sci. & Eng., Northeastern Univ., Shenyang
Abstract :
This paper presents a novel deformable registration method based on Gabor Wavelet and SVM. The method introduces Gabor Wavelet and SVM theory to match brain images. Firstly, the coefficients of wavelet are extracted and optimal search radiuses are reached. With the guidance of the SVM, the deformable registration overcomes the shortages of rigid registration, owning the generalization and presenting an excellent robustness.
Keywords :
brain; generalisation (artificial intelligence); image matching; image registration; medical image processing; support vector machines; wavelet transforms; Gabor wavelet; SVM; brain images; deformable image registration; generalization; optimal search radiuses; rigid registration; Brain; Clouds; Data mining; Educational institutions; Image registration; Information science; Kernel; Robustness; Support vector machine classification; Support vector machines; Deformable Registration; Gabor Wavelet; SVM; feature extraction; multi-level registration;
Conference_Titel :
Natural Computation, 2008. ICNC '08. Fourth International Conference on
Conference_Location :
Jinan
Print_ISBN :
978-0-7695-3304-9
DOI :
10.1109/ICNC.2008.642
