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

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Oishila Bandyopadhyay
Arindam Biswas
Bhargab B. Bhattacharya
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.
Paraules clau
X-ray image, Segmentation, Entropy, Digital Straight line segment, Concavity index, Runs-test, Support vector machine

Article Details

Com citar
Bandyopadhyay, Oishila et al. “Automated Analysis of Orthopaedic X-ray Images based on Digital-Geometric Techniques”. ELCVIA: electronic letters on computer vision and image analysis, vol.VOL 15, no. 2, pp. 7-9, https://raco.cat/index.php/ELCVIA/article/view/314859.
Biografies de l'autor/a

Oishila Bandyopadhyay, Indian Statistical Institute, Kolkata, West bengal, India

B.Tech in Computer Science & Engineering from University of Calcutta, India

M. Tech in Computer Science & Engineering from West Bengal University of Technology, India

Ph.D in Information Technology from Indian Institute of Engineering Science and Technology, Shibpur, India

Arindam Biswas, Indian Institute of Engineering Science and Technology (IIEST), Shibpur, India

Department of Information Technology

Bhargab B. Bhattacharya, Indian Statistical Institute, Kolkata, West Bengal, India

Advanced Computing and Microelectronics Unit