Title :
Multimodal Registration using the Discrete Wavelet Frame Transform
Author :
Li, Shutao ; Peng, Jinglin ; Kwok, James T. ; Zhang, Jing
Author_Institution :
Coll. of Electr. & Inf. Eng., Hunan Univ., Changsha
Abstract :
Image registration is a critical step in medical image analysis. In this paper, a novel image registration method based on the discrete wavelet frame transform (DWFT) and the sum of absolute distance (SAD) method is proposed. First, the multimodal images are decomposed by DWFT, which is shift-invariant compared to traditional dyadic wavelet transforms. Then the energy maps are computed from the details sub-band images. Finally, genetic algorithm (GA) is adopted to obtain the minimum SAD between the two energy maps. The proposed method is tested on 50 pairs of two-dimensional T1-weighted and T2-weighted modal images. Experimental results demonstrated that the proposed method can achieve high accuracy in the rigid transformation case
Keywords :
discrete wavelet transforms; genetic algorithms; image registration; discrete wavelet frame transform; genetic algorithm; image registration; medical image analysis; multimodal registration; sum of absolute distance; Biomedical engineering; Biomedical imaging; Computer science; Discrete wavelet transforms; Educational institutions; Genetic algorithms; Image analysis; Image registration; Image segmentation; Wavelet coefficients;
Conference_Titel :
Pattern Recognition, 2006. ICPR 2006. 18th International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
0-7695-2521-0
DOI :
10.1109/ICPR.2006.839