Deformable Image Registration Based on Gabor Wavelet and SVM

被引：0

作者：

Wang Anna ^{[1
]}

Pan Bo ^{[1
]}

Ma Jidong ^{[1
]}

Li Dan ^{[1
]}

机构：

[1] Northeastern Univ, Coll Informat Sci & Engn, Shenyang 110004, Peoples R China

来源：

ICNC 2008: FOURTH INTERNATIONAL CONFERENCE ON NATURAL COMPUTATION, VOL 3, PROCEEDINGS | 2008年

关键词：

Gabor Wavelet; SVM; Deformable Registration; multi-level registration; feature extraction;

D O I：

10.1109/ICNC.2008.642

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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.

引用

页码：145 / 149

页数：5

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