Medical image recognition based on the fuzzy morphological associative memories

Medical image recognition is crucial step of medical image processing and has become a very hot research topic. But many problems, which are caused by a great deal of missing, polluting, and superimposing of the signals, still generally exist in practical application, such as the low recognizing rate. How to recognize the useful signals from badly polluted images has become a difficult point in medical image process. Thus, this paper will provide a way to recognize medical image automatically by using the fuzzy morphological associative memories.