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Automated Analysis of Orthopaedic X-ray Images based on Digital-Geometric Techniques
Bandyopadhyay, Oishila
Biswas, Arindam, dir.
Bhattacharya, Bhargab B., dir.

Fecha: 2016
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.
Derechos: Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial i la comunicació pública de l'obra, sempre que no sigui amb finalitats comercials, i sempre que es reconegui l'autoria de l'obra original. No es permet la creació d'obres derivades. Creative Commons
Lengua: Anglès.
Documento: other ; abstract ; publishedVersion
Materia: X-ray image ; Segmentation ; Entropy ; Digital straight line segment ; Concavity index ; Runs-test ; Support vector machine
Publicado en: ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 15 Núm. 2 (2016) , p. 7-9 (Special Issue on Recent PhD Thesis Dissemination (2016)) , ISSN 1577-5097

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DOI: 10.5565/rev/elcvia.970

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