Technique of medical image fusion based on tolerance granular space
LI Zhi-gui, MENG Zu-qiang
(College of Computer & Electron Information, Guangxi University,Nanning 530004,China)
Abstract:Focusing on the most traditional image fusion algorithms that split relationship among pixels. Combined with the medical image fusion and the granular computing, research of medical image fusion in granularity,this paper proposed an algorithm for medical image fusion based on tolerance granular space. This algorithm decomposed each source image by wavelet transform, and constructed multi-level tolerance granularity in wavelet coefficients. Finally, selected the appropriate level to fusion image by granularity and through the inverse wavelet transform to form the final fused image.The results of experiment show that this algorithm is effective in MRI and MRA image fusion.Key words:tolerance granular space; medical image fusion; wavelet transform; MRI; MRA ......