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

• Bandyopadhyay, Oishila ^[1] ; Biswas, Arindam ^[2] (dir.) ; Bhattacharya, Bhargab B. ^[1] (dir.)
  1. [1] Indian Statistical Institute

     Indian Statistical Institute

     India

     
  2. [2] Indian Institute of Engineering Science and Technology, Shibpur

     Indian Institute of Engineering Science and Technology, Shibpur

     India

     
• Localización: ELCVIA. Electronic letters on computer vision and image analysis, ISSN-e 1577-5097, Vol. 15, Nº. Extra 2, 2016 (Ejemplar dedicado a: Special Issue on Recent PhD Thesis Dissemination), págs. 7-9
• Idioma: inglés
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• Resumen

  • 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.