Abstract:

A content analysis based medical image fusion method with cloud computing is presented.First,to design better cloud inference rules,the contents of two source images are analyzed with histograms.Then rules are designed based on the histograms of CT and MRI images and the target of fusion.Finally,as the two inputs of the inference system,CT and MRI images are fused into a resulting image.Experiment results comparison between cloud computing and fuzzy inference shows that the result of cloud computing can provide more information and less distortion than fuzzy inference.Further more,the 9 gray-level method based on cloud computing performs better than the 3 gray-level method based on cloud computing.

Key words: cloud computing;cloud model;cloud inference;fuzzy inference;medical image fusion