Title :
An Adaptive Pixel-weighted Image Fusion Algorithm Based on Local Priority for CT and MRI Images
Author :
Shen, Yi ; Jiachen Ma ; Liyong Ma
Author_Institution :
Harbin Inst. of Technol.
Abstract :
The traditional medical image fusion method based on pixel weighting has the problem how to obtain the deciding weights. Using the complementation of the CT and MRI images, an adaptive weighted method based on local priority is proposed. The local brightness and detail information of the two original images is considered and the local priority of the fused image is employed, the more raw information of the two original images can be remained, and the better fusion result of the two kind images is got
Keywords :
biomedical MRI; computerised tomography; medical image processing; sensor fusion; CT images; MRI images; adaptive pixel-weighted image fusion algorithm; local brightness; medical image fusion; Biomedical imaging; Brightness; Computed tomography; Frequency domain analysis; Image fusion; Instrumentation and measurement; Magnetic resonance imaging; Medical diagnostic imaging; Pixel; Positron emission tomography; Adaptive; Image fusion; Local priority; medical image;
Conference_Titel :
Instrumentation and Measurement Technology Conference, 2006. IMTC 2006. Proceedings of the IEEE
Conference_Location :
Sorrento
Print_ISBN :
0-7803-9359-7
Electronic_ISBN :
1091-5281
DOI :
10.1109/IMTC.2006.328508
