Medical Image Fusion Based on Fuzzy Logic
نویسندگان
چکیده
Medical image fusion is one of the popular research topics. Medical image fusion generally means the matching and fusion between two or more images of the same lesion area from different medical imaging equipment. Medical image fusion aims to obtain complementary information and also increase the amount of information. Medical image fusion technique is to combine the information of a variety of images with computer-based image processing method. Through this paper a Mamdani-type minimum-sum mean of maximum (MIN-SUM-MOM) algorithm in the pixellevel fusion between the medical images, is presented. In MIN-SUM-MOM algorithm, fuzzy implication operation uses MIN algorithm; calculating the membership functions of total output fuzzy sets employ SUM algorithm; Defuzzification operation uses MOM algorithm. Employing the data of medical image CT and MRI, the fusion simulation is achieved and it is compared with the result simulation of minimum-maximum-Centroid (MIN-MAX-Centroid) algorithm on the basis of the evaluation standards which are the standard deviation and the information entropy. KeywordsMagnetic Resonance Image (MRI), Computed tomography (CT), Preprocessing, Fuzzy inference system, and Parameter analysis
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