Automated analysis of orthopaedic x-ray images based on digital-geometric techniques

Authors

Oishila Bandyopadhyay, Indian Statistical Institute, Kolkata

Article Type

Research Article

Publication Title

Electronic Letters on Computer Vision and Image Analysis

Abstract

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 automatedX-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.

First Page

7

Last Page

9

DOI

10.5565/rev/elcvia.970

Publication Date

1-1-2016

Comments

Open Access; Gold Open Access

Recommended Citation

Bandyopadhyay, Oishila, "Automated analysis of orthopaedic x-ray images based on digital-geometric techniques" (2016). Journal Articles. 4111.
https://digitalcommons.isical.ac.in/journal-articles/4111