APPLICATION OF A NEW MEDICAL IMAGE SEGMENTATION METHOD BASED ON FUZZY CONNECTEDNESS AND FCM
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Medical image segmentation is one of the important application areas of image segmentation. Considering the fuzzy character of medical images and requirement of practicability, we present a two-stage interactive image segmentation method. First, the object with interest is extracted and a new image scene is constructed using fuzzy connectedness-based method. The new scene together with the original scene forms a two-feature space. Second, the fuzzy C-means method is adopted on the clustering space in order to improve the accuracy of segmentation. We used the method to segment some CT and MT images, the results show that this method deserves our further research.