Automated Analysis of Orthopaedic X-ray Images based on Digital-Geometric Techniques

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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