This thesis reports several methods for automated analysis and interpretation of bone? X -ray images. Automatic segmentation of the bone part in a digital X -ray image is a? challenging problem because of its low contrast against the surrounding flesh. In this? thesis, we propose a fully automated X -ray image segmentation technique, which is? based on a variant of entropy measure of the image. We have also analyzed the? geometric information embedded in the long-bone contour image to identify the? presence of abnormalities in the bone and perform fracture detection, fracture? classification, and bone cancer diagnosis.
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