fuzzy-based medical x-ray image classification

in this paper a novel fuzzy scheme for medical x-ray image classification is presented. in this method, any image is partitioned in to 25 overlapping subimages and then shape-texture features are extracted from shape and directional information extracted from any subimage. in the classification stage, we apply a fuzzy membership to any subimage with respect to euclidean distance between feature vector of any subimage and average of feature vectors of training subimages . at last, the summation of fuzzy memberships in any test image is obtained and its maximum can be used to classify the test image . the proposed method is evaluated for image classification on 2215 radiographic images from irma dataset with 195 training samples and 2020 test samples . classification accuracy rate obtained by fuzzy classifier is much higher than